{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "83708667-4fdc-1563-7b3a-06b6575d2865"
   },
   "source": [
    "## 债券违约预测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 问题说明"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "利用机器学习方法，根据发债企业的违约信息以及企业的财务信息数据建立模型，提取有效的特征并预测发债企业是否存在违约风险。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 加载数据和 python 包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "_cell_guid": "5d8fee34-f454-2642-8b06-ed719f0317e1"
   },
   "outputs": [],
   "source": [
    "# 加载需要的库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas.plotting import scatter_matrix\n",
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn import metrics\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.feature_selection import VarianceThreshold\n",
    "from sklearn.preprocessing import StandardScaler,LabelEncoder\n",
    "from sklearn.model_selection import train_test_split, KFold, cross_val_score, GridSearchCV,cross_val_predict\n",
    "from sklearn.linear_model import LogisticRegression, LassoCV\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.ensemble import AdaBoostClassifier, GradientBoostingClassifier, RandomForestClassifier, ExtraTreesClassifier\n",
    "import xgboost as xgb\n",
    "import lightgbm as lgb\n",
    "\n",
    "# 忽略警告信息\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "_cell_guid": "787e35f7-bf9e-0969-8d13-a54fa87f3519",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# 加载数据\n",
    "dataset = pd.read_csv('data_all.csv', encoding='gbk', sep=',', index_col=0)\n",
    "dataset.head(5)\n",
    "dataset.rename(columns={'credit':'isDefault'},inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据具有178列，其中isDefault表示该企业是否违约"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.描述性统计"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.1 违约企业的省份分布\n",
    "绘制违约企业的省份分布饼状图，可以看到不同省份企业违约的风险具有显著差距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '各省份违约企业比例图')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7AAAAJiCAYAAAD+PC5SAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABfUUlEQVR4nO3dd7hsZXmw8fs5hXPoIGBDBawodgn2zy6xxIAaY0SjRlGxIrH3ji32flTUiGKCCRoMaDRiiRRBTSzYBUGKdETqgef743mHvc6cmb1n7z2nLM79u6659p5V35lZ5X3etiIzkSRJkiRpY7dkQydAkiRJkqRJGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJG0AEfGciNhmA+7/iRHxkYh41zra/pMi4qMRcZt5rnfTiLjhukhTZx/bRMQN2yumtM2d5rHsgyJixTT2O8s+rh8Rb46IG6zL/WwKIuJWEXGPDZ0OSVIxgJWk9Swi7gl8ADgjIp69gZJxD+CZwBPW0fb3AZ4B/F9E3Hh4ZkTcfMS0bwO/n2+aImKzeQZqbwbObPta9H0wIvYETm0FAreaY9kVwJeA0yLiwMXuexYvBl7R9vOCdbgfIuLbEfHr9rpDZ/renekvX+C2942I90xa0BIRL4+Id0bEUxeyvzH+Gjg2Ik6OiPsvZkMRcVhErI6IE6aSMknaBC3b0AmQpE3QE9vfa4Aj1vXOImJZZq4emnxl+3vFmHVuB5yTmecsYH/bAA9rbw/JzDOG5t8U+HVE/A/wysz8dpv1S+C+wL2BSQOWfwL+Hvg28JgJk3hJ+3teZl494TqzeQKwObAv8Oo5ln0AsGV7/XAK+15LRNwFOLC9XQ5cvi7207ElcIv2/5Wd6Vd2pm+2wG3fE3gB9ZsdNMHyTwVuBfwbcMgC9zls7/Z3B+D7EfEc4M/U57ums1xQ3/c2wGGZee6Ibf0RWAqcPTwjInYE5n2+zdNNM/P0dbwPSVqnDGAlaT2KiC2Av21v3zwc3K2D/S0Hvh0R/wq8OzOzzbqq/V0rgGtNeP8D2CIi/j4z/2ueu30cFdBdSdV2Dnskldm/DxUIDPwX8DTgIRGxWWZeOWLdYZsDOwKPiogbT/h9Dj77n2ddagIRsYyZ3/PACQL+R7a/P87Mby12/yPSsy3wL9T9/VJgC+AdEXFMZv5i2vtrusHYRZ3/zx8zfT4ua38n/a1mLZiZr4jYAbh/e/uBzPxzKzSZqwn4McCoAHZQeDLq83TTfDbTK3hYAQya5a/rwgxJWucMYCVp/XoZVZMD8PyIOGAe6345M58/z/19gGoufA8qI3twmz6oORpVA7kLFfjcEDg6It4EvD4zrxmx7CiDNH4qM08bMf8R7e8JmXlSZ/rXqEz81sDDmax2+kPAAdT97GnAGwEiYjdgKyqguYr6nIPPulX7GxFxk862or2WttcyYCXwq8wcF0A9Bbgx8D+Z+fnZEtr62/5Ve/vpCT7bvLRg+gvALTtp+2tgP+p3vPc6KjC5sPN/93u6fMwy87F66O9cBkHgJIUfk/h76jhYDaxq01ZRn+0+1Hn1a+CLzNTAbsX4zzv4TkYF2N3v6/GZecyoDUTEk4FfZOZxk3yA1n/32BH7kKReMoCVpPUkIm4GvKgzaa2+obO4CHjbPPf3ZqofKlRg8/bO7EEwt1ZQmpnHt2aoXwD+H/AaYK+IeHxmzlqTFhF7A3do23/7iPk7Ag9qbz82tN8LIuLLwN9QwegRs+2rrfOT1p9wL+CpEfGmVsv8WuDJc6x+c2BUgD3snsBawUKr3X4FkMALh+btkpmnDq2yN3Az6rv53AT7nVgLjlcx09z1nZn5rxHxDeBewG7AtyJi78z87TT3zZpBUTdwvGLMMvNx9dDfuVw59Hct7Xd7E/CW2Y7niFhC9RMH+GpmngmQmc9r8z9IBbDfycyXjVj/xdQ5kMDmmXkFM+dbDi+fmVfNNaZYROwMfBRYERFHAY/otKqYxLQCe0naYBzESZLWn/dRTV5PpzKwF1F90mLUC3gIMzVPz8nMP0yyk4hYHhEfoYIrgMOA/Yb6e47NSEfE3wG3Bh4MfKRN/kvguIjYdY7dv7H9/bfM/M2I+S+gajUvauka9sn29+HzGMH40PZ3N+B+7f9rqOanF1FNOc+mBm46A/hTW2Z1e39Gm3dmW+4c4IK23JWM+I6aZ7Z9fi4zvz+YGBF7AL+KiH8aGml6MGDXUmoAr5zltUZAPJtW8/ppqsYV4F+BlwJk5vlULewFVM3sca2QYZou6/w/cYAUETtOMAr02ON0jMH+R7YWiIjrAUcCLwE+1767cf4aGByDowocBgOH/X7M+oPg+E8teJ3EXK0c3kW1pLgCeOM8g9dJti9JGz0DWElaDyLi+VSG+Mr291PAtsDHR2XiW/D2r1RLmY9l5qHDy4zZz82pAY0GNUcfB544yWBFUY+VOZTKrH8FeHRmHgD8IxVA7E41RR2Z6Y+IxwB/0d7+bMT8rYDntLerxjTL/VpbdwnwqrnS3HwJOJ4a5OdnAJn5D5m5RWZul5k7ZeYNM/PGmbkzMwNE/SYzd26vG7fXDTPz+pl5vczcJjNXZObxIz7LTahavEuB4RF2D6Cakj6Lao49qH1/BJObKBBsNdr/ATypTfp34And5t6Z+WOqMOQ8YCfgqIh4f+svO9E+IuKlEfGj1od72LVB1DwDqo9Qoze/P0aMSr1AY/ffRhD+X+ChbdLDmOm/PMorOv+Panp96/Z3VEENzBSU/GnM/FHGnqcR8UiqfzlUEPu9WQpAxo3kbQArqfcMYCVpHYuIBwH/1N6+OjN/QNUAnU01+Xzx0PI3pGqJtgO+ATxvwv3cDfg/qlnjNcDLMnP/McFrdtbbPiJeT/XlG2R8T6YNwpOZ7wL2p/r17TdiRGMiYiXwzjmS+Hxge6qf5DtGLdACr9e2t/tFxF5zbJPMPDUz75GZ787MP861/GK1JqiHUgUQb+32842IG1HNn6EGdfrx4H/qnnsicNNZXj9qy88ZwLaa1P+jascBPgE8btTv0/oa3536XQN4LvDLiHhBRGw+x67eBLwVuBPw6LnSNQ/3pj7zc5i8ifC8RcQNIuJTwH8Dgz7PxwL3HFcwFBH7AnvOss3l1GjHUOfNKIPAdT7NdsfVHO9KFXpB1aafOuI1OKe/A4zsjz2PfuyStNGyD6wkrUNtAJV/p663R9OCvMw8NyKeDnwZeEtE/Cwzj4yIW1C1kDcHTgL2nXA0XjLzpIh4CfB6qtb1qxOsdhPgFOrRH1AB1usz88ihbX8iIo7MzLUe/9G8Cth13E4i4vZUX1qAt80RaH4R+AFwV2BVROw1jyaY3X3uS/WN7Q7klNTgOwDXi4jhvoubUbVbK4DjMvPwoW0Omuv+P+B3rB2Iv4JqIn1UZq5q69yYqo2FGgl67GNMOrXbs/XhvCXVH3oQTF4NvDwz3zG03Cupx8pclZm3zczfRMRfAO+lguzrA+8BXhERnwQ+kZmjgrGPMlOj/xTgs+PSNqlW4zoYGfe/R/QXnmv9JdQ5tRk14NjlmXnx0DLbUAUHB1GFDVC/2csz8wuzbHszKmCfzd2p3xngyxHRDcDPzsw7MTOg1aKCxtZy4QhmBn87dNAPt7PMU6nm9xcDT11A02JJ6o/M9OXLly9f6+hF1Yol8BNgmxHz39TmX0plts9s778LbL/AfW43y7ydqWDztLafpDLY/wk8cIH7uwsVICYzQeLrOvM3o2oWk2puuXKCbd6Zmf6nHxwxfwdqtNdls2zjPZ3PuJDXB0Zsc2uqZm229S4CbtJZ55A2/VfA0jk+92/asn83Yt7tqGDyys6+TgceMGZbb2nLXDhi3kOAX4xI+w+oJsjDy3+/8/veZGjeBwbrD03ftbPdxw/NO6Azb79Zvo+XTfhbvaotf0x7/wuqBcFg/plUTe/yCY69V3XWGxzX9x9a5q2d7+Py9hr8Lj9ty9y/vf/1iG1/asy+L+/uD7ge1Tw+qRYQv2//vx2Itsw9qX7Iq4G/GrHNe4z6fXz58uWrry9rYCVpHcrMp0XE94Gjc6iGqHk1NRrxU4F3t2n/CTw2My8bsfwk+7yw+z7qWZb7UqP7PogaRAjgLKo28ZOZ+cuF7KvVcn2Bqg37ERU0PHBosfdRzU8BXglkRERmjq0lyswfRXt8D/DsiPhVZr6ns8jxwC1aGgbTrsrMzTrLHEI9W/ZyKhBZTWXkn9ZepwKP734cquZ1ZXutVSuYmX+KiMOAp1OB6m+p7/HP1He8lGq6fXpL2wOZGQ35dTl3X+RBH9M1+gdHxD8DTxxa9lDgeZl5wZhtDY6ftUYAzsz/iog7UDWrr2CmNvR6VFPbYZ+mmtQuaemYq4ZyLoPHCV0M/NsitzXKoH/qmVTz/Q9n5qVzrdRaTAxaChxNNRO+xdAymzHT5/gNmfn6Nv0J1G/Sff7tYr2IakVwMdXd4M9UE+EXAzePer7zJ6jj9umZ+R9T3LckbZQMYCVpHcvMj4ya3ppBPpaqQem6FfBXEfHFCQKeUdsNqgbzIdSANfdj9PX+aiqAe/wcg8Fekpm3HzPvky29l1OZ+jX6wUbEu5lpfvoHOn3z5h6AFqgmn7sB74qIpZk56Ev8Z6oP8VVUTex2wCXdFTPzf6lBe9bQGYX38pzwWZpDXkc1g762uW1EPIX6Lb9HG7k5IlZQNaYBnMBkj87Zsv29ZGj6+6gBh5YDv6RGpf56ROzQGRn6jFyzufmsz1Bty74/Ij5BFaAcSD1a5qwRi3+eGvxqOYsMYCNiS+AB7e1hExbUnEUVEAwMntW7ggr6hwtg/gC8Afh0Ttj8vJ0376U+45XU4GVfHrHos6lCp2TNvqa7tb9Te9ZuZr4iIs6mnpl8fEvnA6huBo9pr2uAp2XmIdParyRtzAxgJWk9ayPHPplqRjmo3fk2Vcv1HKrv5xeAP7Tavv8AvpeZV82yzb8A/g64I9Wk93oTJGXnCZM8W3/Vd1CB8kuynsnaTdPLqaAI4JvAV5lf4HMZVet0PNVH99rPn9XHcLCflwEHs/Bnjc5LDj3OKCK2pprrXgU8Y1CznJlXtN/lYKoGMCPiOdTgQcO1qQODGtjhYPz7EfFaqqn5hzrHwiuZeQbtralmyteu1v7OWgjSaiY/GBEfpoLtUcucFxH/BTwc2CMi7pyZP5ptu7P4G2b6j04adF0xz8KGIzPzY3MvNqP9Pg+lChpOzMyfDReytJGbB6Njf3mo5cLt2t9fMUWZ+d7O/renAvkVQ4vtExGnUf2JHahJ0nWaAawkrQcRcX3qsR2PpYKy5W3WcdSgSUe35Q6hatpeBNyNqgX6R+DyiPhfamCn/6X6Pp4J/DLrcTR/oAbY2b6z2z8wE6TulpmnzDPNT6ECjLGBc2YeHxF3GrPtTwKPovqr/g317MqPUsHZKS1tf5NrD5T0TKoW87zM/FVEPA64WWZ+ktldW9PYRn7+MjN9E1dTNVVJ1dYC3CIiRqW76wWZ+aU5lvkgcCPg4Mz8aXdGa859QEvTnlR/USLiO5n50e6yrcZ20Lx7rUevZObBI/bdHVRrXEHDWk21I2IplQfYArgmMy+aIPD5AhXAQtXC/miO5ccZjNL88wXWgK8zmXlRROzDmECeaq67A3UsvTYibpWZg4D1ru3vVAPYVmP9YOocegwV/F9CNf0+i3r28qPa66yI+DJVYPQDqom7JF2nGMBK0joQETtRfQbvSQWud2MmU3wp8BmqJu0H3fVa7d1hwGERcWeqr+W+VJPFu7fXwDnAbYE/Z+YZrbnus6lRjz9HDQg0jeaMI5ugdtJ8ypjpZ0fEI6hBpc7rzus8uuWiEasO+rFe3Lbz9QnT2Q3AggrORj23dGAZ7Tmts5i1eWvr9/gkKlB442zLZuaJrZbzAKpJ9DGZ+YvOIt20DjchHufiMf937RIRY/sbU0HZ0yfY1xFUIcQKqtn5S+Zb2xcRt2NmFOhPzWfd9WVcS4eIeB4VQEJ9Zw8FXh8Rz6L6rd+mzfvhNNIREbemrgW3Z6bA6xKqT+/3gN+2vuKfZ6YJ+K2BZ7QX1LH2o2mkR5I2Fj4HVpKmLCL+gaoN+09qkKY9qVrM/6SaDt8oM58+HLwOy8wfZeZzqUfd7Ek9H/VbzARVbxwKDN8G7JyZz87M707xIy24SWJmnp+Za9QCtb6/g8f2nLf2Wmtk1hfqO8CO1KjBK9o2l1L3vde3ZX6RmTH8Au7b2c6o/qAAtOamn2hvn93tyxkRm0fELSPirkOrHQT8mApWP9t5bA4sLIAdNJu+crZBsaahDUL2jfZ2Z6pv9XwNHlt0NfDP00jXenQoNbDT2cDLqefvbk41/f8qVWhyMTXi+KK15snHUcftsVQwujN1HXgv8MOIOJGq0f5CZt6GerzTx1oaj6FaPEjSdYoBrCRN3yFUxvNsKpO+H3ADKpD6NHBRROSkLyqAPBH4WWben3qm5b3atq6VmVfOUiP2u/nss+130D9x2n3qbsRMC6BRz/8c9O9bcJ/WzLwiM8/LzEva97I6M69pQd5co0fdoPP/yBrsiHgvVSCxkqpFfkpEfCMifhoRF1C17L8C/n4oXZdTAcc1VKHEKzuzt+z8v1YT4jFy6O8op44I0ldQhQg7UU3UJzUYMfhS4A7zWG8wGvagBvOrmTm1wY7Wh8w8H3gE9dii82h9v6kWCoOCiu91zsGla29l3l5BFXjdKzM/0goRrkcFzJdQLTs+AJwZEZ/NzO9k5jOpFht/ta4LNSRpQ7AJsSRNWRsMZm/gT90MZEQsdpChy9v2r6JqZObSDdR+yyx9WcfYlpnHq0zTYLCbC4abFjeDGth1NSjTXAHsjdvfKzLz3DHL7MBMgLItaz6O5xqq8OICKtBYQxuQaRVwb2qAroFBDewVmTlrs+3FaiMQX8nkgfLAl6hg+XMtGJ/PPs+LiJvS42atLTg9ufP/OyLil1TzaqjvZ2DQTH45C5RrPxIrMvM04OkR8UKq3/tzqabDvx9K52JaMEjSRssAVpLWgRz9zNdBE9OPZuazJt1Wp//iRI8DGeNBixjEadr2an9PHDN/MELtug5gxwWyN2t/fz9mPtTjgvajCgaOoZqN/pR6nMvpEwSgLwfINZ/hOnIE4o1JC+jnGkxrtvXPB948rfS0Jtj7U4VFn53Wdufpju3vNcwEslCFHLD2iMGL8e2IuAL4CvAfmfn+iPgAVTP8P1PcjyRttAxgJWn9WWyt2nzX31i7ifxV+zuun+6g5mpdBbBLhv4SEbelmmbegJmRdn/NGG3wnJ0X2gx2KHAdGDQhnm+t6CYpIh5NPaLo1sAqYL0HsBGxFfCC9vaoXPMZuj+nCiquXGvFhe3rjswMgPUgaiCwn1LNuv9lzDElSdc5BrCStP7M+jzOCcy3L2q3hvF3w8+03BAi4g7M1MB+ecxig5rIP6+jZCwd+gvVN3N4FOGjZtvIXMFrqx282fAgVrPY6GtgNwYR8f+owPVenck3GLP4uG28hRrg65OZuZhRg9/ETE3r27ozMvN46hnG8zE2X5aZ/9cex/VQamTyhwN7tNerI+J44P+15uEjRcQSnxMrqe8MYCVp/VlsxnG+63drYBfTB3Y+ke9cy76lLXNCZv5ozDJbt7/rqiZy0CexG8B+hpkA9pfUI14+OOkGI2JbKpC4I3Dn9rojFQQ/ZuyKaxrUwBrAzrh2ZOaIuD81qNFDOvNPpoLIw+a53ftTj7h6bkTskpmzNRcfKSIeAjy/vf3vzPzOfLcxtL1gjoGfMvMcajTkQyNiayqQ/Qdq9OGjZwtem+UsriuCJG1wBrCStP4sNoCd74ii3czwYvrAzmc01VG1m4PtPR94ZHs72zNTB31Qxw2gNGwQ+F0/IvajBhia7bvabOgvmfn7tu73ZvueImIp8NdUs9VbAbdsf280YvHLqed1TmpQizjq2biD/W9PHQeXZeZUApH2WKMtgRjuux0RN6ZGK76QKlC4bFo1eO27XEkVWFwPuHBErfYD299dgG92pv+MOob+ZUx6xj7/tz2jedAK4OQ5gtdBIdAaBTPt8UiHtel/pvrhTmJwXow6PueVJ8vMP1EFL5+JiFsAf5hgtWUYwErqOQNYSVp/BpnhZ0bEM9fD/qbxGI/5bmdkABsRTwfe3d4elplHjlo5InahHi8DE2TII+JJzDxbdHOqH+TLI+JjwBFjgpMzqKada9TwZubn5tpfZl4dEa8C7jJi9m+pxycNXj9qI0ZPahCsnT/LMv9MDdjDUJPwFZ3BvobtMsu8rk8ATx+a9g8MFTbM1hR9lv18PiI+P8f+X03Vpg62tStrNhMG+AXwGuDwMYHroB/owyLiPsApQ/M3B97AzPE517NoB4Uc1x7PEfFA4IvAdm3SgeOaiUfESurZrRdQBViD33hUENnNk31zIU3+J1hnwSMiS9LGwgBWktafxV5z5xuQdpdfTB/Y+aR7jdrNiNiMGnX2H6naqp9Rj1G5VkS8HXgwVRu3GzOjtp4w244i4nnAe9t2P0M1+92batb5XuC9EfE7arTjX1DPnP0jVSv6X8DqiLg9M32Tl7bXCqpGcivqOalXDo1w+3GqefGJ1GNyjqWaRJ8zx3cznP6HUbW5lwO3YKZ2+qT5bOe6KjNPiYiPU7Wb51MB7kczc7a+5N8C9gF2BOZq0vtH4MNzLDM4npe3GuOPsGaQ/8bM/Pgs619NjQ483Ef3tBHLro/g0nyfpN7zQiZJ688gMFvoY3Q2m3XBtXWXX0wf2PncK1YO/X0o8EIqyDwN+MvhZ1tSgcaLh6Z9ODN/Mm4nEfFi4O3t7RHAU1qz4W9GxPuAZwJPoJr47jaP9I/y5KH3nwVOaoP0LMYPqcehdEsWLqD6OI7zFKr56aXA5XM0lZ5IC8y2HkrHwOFUQcKFwMXUo6AWOxjZwKAJ8VbUQEijassPoo6/VwyN8DvOB4GbUM/lvTGjP9OVVCHGc0cci8MG59DKVvveHfDp7Zn5mtlWzsyrWs3zgZ3Jl1Hf67DuefaAzDxmjrRNJCLuwcxzo62BldR7BrCStP5sOfcisxrbr2+MbgC7mD6wK+dYtGsQpK8EyMwjI+IgKqDcOzNPH7HO16lg7lTgB9TjSMY9I3bgKOAZ1HfylG4g1/pRvhZ4besbeG9qUKVbUsHN9angfEvmHnTqQoYGCGr9RBcbvJKZZ0XEj1s6fkEFiofMFqi157BOVavRvHDMvJ9Tj4PZIDLzEqoZ86TLXwW8qL2mYRDwbdG2/6GI2B04MTM/M+E2vkkNsvQ76vj+l8wc9Yim9ZEnM98nqfdiCoW3kqSNUGu+e/329sw5ml6u67Rs3QadmeY2dwRunZnzGShpeBubUYH+MqpGcBnVV3kJFdxeMd+mwZIkad0xgJUkSZIk9cKSuReRJEmSJGnDM4CVJEmSJPVC7zrz77jjjrnrrrtu6GRIkiRJktaBk0466dzM3GnUvN4FsLvuuisnnjjX4JSSJEmSpD6KiFPHzbMJsSRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLyzZ0AiRJkiRJi3fC/vtPdXt7rVo11e1NgzWwkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1wkQBbERsHxGHR8TFEXFSRNxxsetFxLKIWBUR50bEJRHxzYjYfaEfRJIkSZJ03TZpDezngZsD9wTeBXwpIrZa5HovBnYH7g7cEfg9cPjkSZckSZIkbUrmDGAjYg9gb+DZmfnTzDwUOBnYZ5Hr3Qc4LDN/k5m/BVYBt46IWOiHkSRJkiRdd01SA3tX4MLMPK4z7VjgHotc7/+Ap0bETSNiB+CFwFGZmZMlXZIkSZK0KZkkgN0W+O3QtAuBnRe53huAlVTT4XOBuwDPHLWhiHhGRJwYESeec845EyRZkiRJknRdM0kAuxq4fGjapcBcfWDnWu8NwO+AGwM3AI4BvhYRy4c3lJkfy8w9M3PPnXbaaYIkS5IkSZKua5ZNsMy5wA2Hpm0LXLHI9f4BeEBmngkQEc8B/gzcC/jWBOmSJEmSJG1CJqmBPQ7YJSK6TYb3BE5b5HrLWDPAvT4QwNIJ0iRJkiRJ2sTMGcBm5unAd4GDI2JpRNwJeDRwZHuW63bzXa8tchzwjoh4ckQ8Ffh34A9tuiRJkiRJa5j0ObAHAPcDzga+D/xLZn6FehTOBbM8E3bcegBPBn4CvA34CHA1sG9mXrqQDyJJkiRJum6bpA8smXlyRNyWCkbPz8zj2/RjqGa/81qvzTsL2G8RaZckSZIkbUImCmABWs3oUfPdwULXkyRJkiSpa9ImxJIkSZIkbVAGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqReWbegESJIkSVKfnbD//lPd3l6rVk11e9cl1sBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvbBsQydAkiRJkhbihP33n+r29lq1aqrb0/RZAytJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvTBRABsR20fE4RFxcUScFBF3nOZ6EfGuiPhORMR8Ei9JkiRJ2nQsm3C5zwPXB+4J3Bn4UkTcITMvWex6EXEf4FnAXTMz55d8SZIkSdKmYs4a2IjYA9gbeHZm/jQzDwVOBvZZ7HoRsSXwKeDgzPz5Aj+DJEmSJGkTMEkT4rsCF2bmcZ1pxwL3mMJ6bwWuB5waEftExBYTpEeSJEmStAmaJIDdFvjt0LQLgZ0Xs15E3AV4NvBz4GbAM4AfR8RNhzcUEc+IiBMj4sRzzjlngiRLkiRJkq5rJglgVwOXD027FNhqkes9BzgNeEBmvikzHw78Hnjd8IYy82OZuWdm7rnTTjtNkGRJkiRJ0nXNJAHsucANh6ZtC1yxyPVuBnwtM7vb+T6w+wRpkiRJkiRtYiYJYI8DdomIbpPhPana08Wsdyqw5dA6uwJ/mCBNkiRJkqRNzJyP0cnM0yPiu8DBEfFU4PbAo4HHRMQyYKvMvHA+67VFPg18PSL+A/gO8FBgX+CRi/9YkiRJktaVE/bff6rb22vVqqluT9ddkz4H9gDgaOBsYBvgsMz8SkTcH/hmRGw95pmwI9cDyMzvRsQTgFcBhwDnAM/JzK8u4vNIkiRJkq6jJgpgM/PkiLgtcD/g/Mw8vk0/Boj5rteZ/2/Avy0w7ZIkSZKkTcikNbBk5qXAUfPdwULXkyRJkrQmm+5qUzfJIE6SJEmSJG1wBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqhWUbOgGSJElSH5yw//5T3d5eq1ZNdXvSpsAaWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPXCsg2dAEmSJGk2J+y//1S3t9eqVVPdnqT1xxpYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb0wUQAbEdtHxOERcXFEnBQRd5zmehGxWUT8OCKeMo+0S5IkSZI2IcsmXO7zwPWBewJ3Br4UEXfIzEumtN7rgNtPmBZJkiRJ0iZozhrYiNgD2Bt4dmb+NDMPBU4G9pnGehHxF8Bzgd8t5ANIkiRJkjYNkzQhvitwYWYe15l2LHCPxa4XESuATwGvAH4/SYIlSZIkSZumSQLYbYHfDk27ENh5Cuu9ATgD+OBsG4qIZ0TEiRFx4jnnnDNXeiVJkiRJ10GTBLCrgcuHpl0KbLWY9SLi7sDTgX/IzJxtQ5n5sczcMzP33GmnnSZIsiRJkiTpumaSAPZc4IZD07YFrljoehGxkmo6/MLMPG2CNEiSJEmSNnGTBLDHAbtERLfp757AXIHnbOvdHdgdeF9EXBgRFwL3AT4UEUdOmnhJkiRJ0qZjzgA2M08HvgscHBFLI+JOwKOBIyNiWURsN9/1gOOB3ahH6wxeJwKvoZoVS5IkSZK0hkmfA3sAcDRwNrANcFhmfiUi7g98MyK2HvNM2JHrtXmndBeMiMuBczPzrPl+CEmSJEnSdd9EAWxmnhwRtwXuB5yfmce36ccAMd/1xix7/3mkW5IkSZK0iZm0BpbMvBQ4ar47WOh6kiRJkiR1TTKIkyRJkiRJG5wBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpF5Zt6ARIkiRp43TC/vtPdXt7rVo11e1J2vRYAytJkiRJ6gVrYCVJkjYy1nxK0mjWwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvTBRABsR20fE4RFxcUScFBF3nMZ6EfHCiDgzIlZHxE8i4h4L+RCSJEmSpOu+SWtgPw/cHLgn8C7gSxGx1WLWi4jHAS8FngrsDJwE/GtEWCssSZIkSVrLnMFiROwB7A08OzN/mpmHAicD+yxyvVsAT83MozPzbODtwE2oYFaSJEmSpDVMUtt5V+DCzDyuM+1YYK7mvrOul5kHZ+ZRnXl7ABcDZ06QJkmSJEnSJmaSAHZb4LdD0y5k7prSideLiOXAa4APZObqCdIkSZIkSdrETBLArgYuH5p2KTBXH9j5rPcWYHn7u5aIeEZEnBgRJ55zzjlzp1iSJEmSdJ0zSQB7LnDDoWnbAldMY72IeCzwLOAxmfnnURvKzI9l5p6ZuedOO+00QZIlSZIkSdc1kwSwxwG7RES36e+ewGmLXS8i7gUcAjwpM38yWZIlSZIkSZuiOQPYzDwd+C5wcEQsjYg7AY8GjoyIZRGx3XzXA4iIWwH/CbwT+HpEbNVeS6fxwSRJkiRJ1y2TPnP1AOB+wNnA94F/ycyvAPcBLpjlmbDj1hvM2xZ4HfCnzuu+8/8YkiRJkqTrumWTLJSZJ0fEbalg9PzMPL5NPwaI+a7X5h0EHLSItEuSJE3VCfvvP9Xt7bVq1VS3J0mbuokCWIDMvBQ4as4Fp7SeJEmSJEldkzYhliRJkiRpgzKAlSRJkiT1wsRNiCVJktYV+55KkiZhDawkSZIkqRcMYCVJkiRJvWATYkmSNnE235Uk9YU1sJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeqFZRs6AZIkbapO2H//qW5vr1Wrpro9SZI2NtbASpIkSZJ6wRpYSdImx5pPSZL6yRpYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF5YtqETIEnadJyw//5T3d5eq1ZNdXuSJGnjZg2sJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSemHZhk6AJGndO2H//ae6vb1WrZrq9iRJkiZhDawkSZIkqRcMYCVJkiRJvWATYklax2y+K0mSNB3WwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcchVjSdZaj/0qSJF23WAMrSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXli2oRMg6brnhP33n+r29lq1aqrbkyRJUj8ZwErXIQaOkiRJui6zCbEkSZIkqRcMYCVJkiRJvWATYmkKbLorSZIkrXvWwEqSJEmSesEAVpIkSZLUCzYhVq/ZdFeSJEnadFgDK0mSJEnqBQNYSZIkSVIv2IRYC2bzXUmSJEnrkzWwkiRJkqResAa2h6z5lCRJkrQpsgZWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFxzEaR4cPEmSJEmSNhxrYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1ggGsJEmSJKkXDGAlSZIkSb1gACtJkiRJ6gUDWEmSJElSLxjASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi9MFMBGxPYRcXhEXBwRJ0XEHaexXkQ8MCJ+HBEXRcQnImLlQj6EJEmSJOm6b9Ia2M8DNwfuCbwL+FJEbLWY9SLi5sCRwH8AdwG2At4yr9RLkiRJkjYZcwawEbEHsDfw7Mz8aWYeCpwM7LPI9Q4ATgFemZm/BV4APM1aWEmSJEnSKJPUwN4VuDAzj+tMOxa4xyLXuyvwtcxMgMw8CzgXuP0kCZckSZIkbVqixY/jF4h4LvDUzLxbZ9rzgAdm5r4LXS8iTgQ+nZnv78w/CXhDZn5paFvPAJ4BcLOb3exup5566nw+oyRJkiSpJyLipMzcc9S8SWpgVwOXD027lOqzupj1Jt5uZn4sM/fMzD132mmnCZIsSZIkSbqumSSAPRe44dC0bYErFrneQrcrSZIkSdoETRLAHgfsEhE7d6btCZy2yPWOBe4zmNFGJ959gu1KkiRJkjZBcwawmXk68F3g4IhYGhF3Ah4NHBkRyyJiu/mu1xY5DHhARPxle/9K4HzgxMV8IEmSJEnSddOyCZc7ADgaOBvYBjgsM78SEfcHvhkRW2fmJZOuB5CZv4mIFwFfjojz2/zHZebVi/lAkiRJkqTrpokC2Mw8OSJuC9wPOD8zj2/TjwFivut15r8vIr4E3AU4sdXaSpIkSZK0lklrYMnMS4Gj5ruDudbLzFMBn4sjSZIkSZrVJIM4SZIkSZK0wRnASpIkSZJ6wQBWkiRJktQLBrCSJEmSpF4wgJUkSZIk9YIBrCRJkiSpFwxgJUmSJEm9YAArSZIkSeoFA1hJkiRJUi8YwEqSJEmSesEAVpIkSZLUCwawkiRJkqReMICVJEmSJPWCAawkSZIkqRcMYCVJkiRJvWAAK0mSJEnqBQNYSZIkSVIvRGZu6DTMS0ScA5y6odMxhx2Bczd0IjAdG1sawHQMMx1r2hjSsTGkAUzHMNOxcaUBTMcw07GmjSEdG0MawHQMMx2T2SUzdxo1o3cBbB9ExImZuafp2HjSsTGkwXSYjj6kY2NIg+kwHRt7GkyH6ehDOjaGNJgO07Eu2IRYkiRJktQLBrCSJEmSpF4wgF03PrahE9CYjhkbQxrAdAwzHWvaGNKxMaQBTMcw0zFjY0gDmI5hpmNNG0M6NoY0gOkYZjoWyT6wkiRJkqResAZ2niJiWUTcMCJixLyIiO2779dhOjaPiJEjcy1gW8unsZ0F7PcjEbH7htj3tETEyojYbJb5ERErImLF+kyXNl4RsXxa5+6maprXjoi4UUScHhG7zbLMyohYOuH2lkTEymmkTfMXEQvO10TEIyLiLZ33W0TEshHLLY2ILRe6n03RdeF+3wftWrXJ5jc2lmMsInaPiIyIHedY7kYRcWFE3GHEvO9GxBvWXSr7zQB2DhHxdxFx386kXYAzgeWd+a+KiEOA3wBfatN3BX4cEQ9r7zdvF5YlQ9vfPCJ2WsDN8E3A5+cKkiPijhFxbERs0d6/OiLe1pm/GXBWRFx/rh1GxPMj4jMRcaPOtEsi4nbt/wdFxOp2Ml7YTt4tx2QAtgeeOfGnXXv9dVY4ME+HAVe0z7rWC7gGuBzofucrImKvURuLiP+MiH9YP0m/dp9nR8SBs8z/u4j4wzrc/4rhDH/LOL4sIraewvavFxHvjoit5rne30fEgxe4z6Mi4tyIOKUdC0/vzN4J+GNEbDtivetkoBQRB0bEc9v/0a4LYz9nRGzWAv2pXztGuBrYuf0d57fAH1qge3q7vv2p/X9JRFwwmAecBvxuiukba5HH6IKu5yO2c2ZEPKT9/9GI+MBCP89itxcRL6Ddgxfo58CzI+KFnffnd76DCyPiQuBC4KJZ0rFFOz9fFBGHLSI9G0xUYf1NI2LHWV47R8Q2w+uN2NaCztlp3xtigUF0S8e/RcSd2vtlk16nx2xvUUFWRDw+Is4YM/uzwDtGrLO83V+ivb9+TBBgLTKdW0XExwffW5s2Nu5YbL4uIh5F5bvHfr8RcWJUYHjMBK/vRcS359jn4H42XBF0Zft7xdDyS9vy0Zm/LXDViM2f19nOOjPt82y9yUxfs7yAfwD+BLyWCvhvWl/btfP/CHwA+BtgL+qZRQArgLdQmaJXAkcAOcvr6fNM1w7AGcBdZllmc+Ak4J3Ay4F9gZdQwe++wMHAnYHjJ9znUuC9wNnAtm3aucBu7f/7AN9t/2/VPteS9vdPLb2ntNcZVHB3ytDrLOCywfc4Jh27Aj8BHtb5nCuBJSM+/07AliO28VPghUPTvga8bp6/ww2pzO8N2+sv2ue9eXt/o5benTrr3Bs4HfgosA3wPuA/gSPb5/9h+/9I4MMTpOHV1MXvwva6tPN+NfDnzrzVwMuH1j8d2K/z/uvAmzrv9wF+vcDz54nAX86xzD9ShT97d6Y9nAoaNhtadjmwxTzTsAL4/Xx+23Y8nQW8YoGf+9+Bp7TjINsxsgV1Du0AXNOWC2Czweds58VZ7Tc5vf1mf2r/XwJc0Jn3B+DMeaZrWTsubw88lMpUvm+S46yt/yHgnQv4Ph7ZjsOPtHNitmvh4PVcpnztGJO27dp+bjKPdQ4E3tP+/wDwrIUcJ53t3aj9prutx2N0QdfzEds5BbhP+/89Czk+FrK9dhxv39I2eN2euuc+dGj6NtS9ICbY/zMmPR/a8ocBv6DuKW+nMqPnUAUZ51Pn7Snte57zXtuOree2/wPYElg6y/KbActHTD8TeEj7/6PAB+b5O+zafvPVs7xykNbOelM7Z1ngvQFYNmJb27e07b7A4/L/gHe1/5/StnUJM/fW7utds2znUdT9eUHpaNvYB/jNmHmHAm8bMX1wPZ3r9Y62/O9H/F6nj5l2yzFpWdm2ee/2/gAqrzPq99mV+eXrbkBdu4df3wcOGjF9m7b+HYBbt/0NXp8Gvjk0bde23O0mOE9WU/mu7jFwcfvsFw69LmnL34Q6v7dry+1OXZODme6dRwCv6uxrrbzsBMfKbdv2d5plmXWaB1tXr7VKyrSmzPxkRPwAeA2V+cuhRVYDh2fmMUPrXQG8IiL+h7qxHQK8kCpN2Qd4GRXsLKMy2GMfJBzV3PCP1E3hmqHZ3+wUWi0BtqZO8AD+g7qJvRT4J+ABbV8rqGD7DOpG/z8RcVPqwPxjZl4y5ru4GnhBRHwIeFBUDeNmwEMj4gLqhj28zjURsUVmXjb0mR4PvDIz12o2MYEzgS8DR0bEa6jv8a/bdkctv39UDfnyzLy8TbuCusB0XUWntKyVSF3VPvdImXlW932nFGu27/F/IuL2wBuooOal1O96DXA48EXgc8D9gHeN2/dQur+VmQ9uaXgGsG9mPiwijgE+npmfbfOOYe0SvauoWuKByxgqNVyEJ1KZu6NnWea9wPWAoyLiVZn5FuBJzNRUdpddApxK3YQmkplXRMT7YM3rXaspWJGZf27/X5OZg/PrmVTA9c5R6wCXz3ZcMFOb90CqECmpm/3ge42IOJU6T5dRGfW3Z+aNh/Z3ILBrZh7YaqJ+kpkfmfSzt218FngYdX5fTv2+N6MKKk6nMpF/jIgbDh/PI5wIvDsiXpOZl7btL6cyJJeNWykzj4yIR1MZiz9TAdvl1PWz68nUdWp/6rv6xDSvHRHxUuBxmXm3CZY9AfhoZn5ivvtZgDlrgad9jC70ej6fDxXVwmfzzBxbW7mI7f2BunYNH0OXAf82NG0J9dl2pDKRw9sN6hi+CljVlh18l7cfk5yft/vJc9r7r1CFoJcDN2j3vucCe2bmUyLikcCLo5p3rp7lt/k18IV2j3g9dZ8ed28beB5VkNJ1BfVd0P4Of09zOZX6TmY7JkfVpk3zfr/Qe8NVEXEJlWca3O82o67DRw+tt5IqdNg9M0+dJS1HUBUaBwH/AhxFHX+Dc2Ip8EngQdSxQKu9Gq6p/TbwI+DhETF8vb0mM4fzJbRtLaeCucE9ZDgvSmd6dtahHdcfoY7tKzMzW17lMup8urwt/3Fm8gI3AO5GfYdXZeYZ7Rpx0/a5t8vMX8RMS7NRBt/92e3vEVTe981Uvqdrvvm6U6jgcZQ9qTxv1x+p8/LHEbEHlS85eSjtR3b+vwVVyTHr/TYzT4G1Y6moVpi/owpG18oLtvnXMHOO/pA6Fu8LfCsi/kTl5x8WES+ijt/zqO9/pIi4D3UduIKZ42PQnPwrETH4rEvavh6dmb9mHefB1hUD2Alk5o+AR0fEsVSNChFxNjV618ibQkRElq+MmHcRcPUEmcWBwc1/r8z8edvGS4B/zswzO9u9PfBj6uDdigqcXwHckjpAbzC03XOAf26f4etUBnc/4Ngxn2mHzDyvXbQ+TQVfW1AX9NVUyfVaxmRsb0GV7szbAgsH7gl8JyIGN+OlwMci4qOdTS8B/jIi3thZ5g5UqeDUtIzMVzPz+RFxdNvHoPnI9YF7UcHtSuB6EXEasE9mnjRmk8NNT7aibjrjDC+fQ9OuZvzNcb4uH7G/NXeeuRp4ZUT8kmr+c1PgIcCNM3O2zzFSCzz+Ysy8g0dM2xx4PHDIiBvlFWNunvcFvjtBch4BfKnd/B8G/Io6zs7NzF0iYjtgx3YTmbr22Z5DtRq5uE3blbqx7tu9sbamUJsPzteI+BzwaNYs3IA6Ns5o38sgAD+OyriNS8cWmflV4Kvt/RVUQdvgHnRNZl7cpq/OzAtm+VgLvnZQ16lJm6ltTaebTUR8kZnPuAJYEhFPoT7H1RHx1jbvpMwc+12MMcjozRYgPpEpHqMLvZ63AOyalikeKyJuRdVOnk2V5o9bbkHby8wFN+Ec4cbAb9rxl8BWUX1h3w38APje0PL3oALbn2fmeVFNFrfJzK9HxHeBW7R7zZbAZlHNvFdSx9TvqRYJ3x+VkEUU9kxskoKFzExmb1Y/skBjmvf7Rdwbpl1oDlWwvEVELG+Fd5d2tr0U+Axwf6rWe5CH+gZj7kXMEmSNWf5vgX/unusteBypFdYBvC0iXksFrpMUYlzTgtvBsh+mPutjO8v8E3CbiLhHe39V2+fwubx5+3s+QGae2Y7tC9q9afPMHMybb77un6l81LPm+kAR8USqReTA4Hx5G+PPnTczj+a77Tu7cq5Cvnb8XJWZp7Tj5gnUZ7kLlT+4hsqL34m69vwuM3dv6851zftf4GlUUDxI+87AMcDTmTlmBxVZp8P082DrzbiqWV9VXU/VHA2a4WzBTLOapVSJyG9YsxnJn4C7UiU7jx6z3ScCp8wjHSupfg03au/vQx2Itx5abjfqQF3RmbYjFai+iQrEuq+3UyUpS9r/L54lDbtTgfRBdJp/UMHhru3/+1E32lPadts9kEOoG/HpE7yuAN4wx/cxthnYuO+2fcYlnff/SzUD6n6WI1mzucbSOfa1M9Un+iad1z3a8XHroem7tWNn2/adfbf9Nlu037fbZOSJ7f/7UyW1K5i9CdmBwNc77z/ETDOgYwbb67wfbvJ1BvCIzvsjhr6HfVh4E+IjmGeTQqoUe9Uiztv/pm5W283x2pGZc2olM814X9qOxc1HHXtt3c3mSMPhVHOpPwN3aNOOpmpKtqOCNKimO8cNrftFZq4ng9rwC9vfbjOlb8yRhhXU+XgRkzVtuqgtv2Vb/9MMnYvUjfV5wM7z+D3uRWXM9qedg1RXhm6ztTPa9KcDh3XWnfa140DgxKFp2zGiCTF1jXx65/2Xgae0/18HvLb9f20TYuqc/fYcaXgpFeROkoYTgKdN+xhlcdfz9wz9dsmaTX4/3f5eQjVdvfEc38eitked78Prd18XzPP6sUP7bnaj8gCXj1jmQuDmnfefAJ7Teb8Fdc95LvCpNu2RVEuZufa/xdD7FYxuCjl8rqyg05SYMU2xgVtRrUL+c5Y03Jiqkdlugtf16FwPmPI5O5SuBd8bqK5cX1rIuhNs+xPUdfWeQ9O/A3xkwm08Efj9LPOXAyvb//sw5p5M5RXf2v5fyUygMts5Mup1JVVIc0eqRcOgOfAtqGD9jm0fSTsXqDzUfPbx606655WvA94IPHXC7/YhwBGd97u1/R9EnaOjXqfSrvcTbH87KvC8gjXvt8NNzP9EBftbddb995aWZ9NprkzVmA++pwfM41h8H2vmE0bd7y8DXrouzrP1+XIQp9ldA/wP8G8R8bGsUrdBqdRyqrZsKVW6/ETqwNiRqub/IfDFiHjvlNLxpJypbX0l8N7M/GV3ocz8HdVksVtK8z7gyMx8FfAi6gR6MPAYKhPzy6wSo51ppTGjZNX8PozKlK9Vi9UsB47NzF2BPTrTLwX+PTNvQtWEfo3qM3ETqinzvwJ3be+PZUQTr4GIuCvws1aKN7H2GZfFzCAG36VKwr/WKan8OvCzzjpXZzubx/gglUk4rfMalLz+Ymj6b6mm5hcBd6f6bw2OqWhpG1WNsiQzr8jZm6teq5XQPYI6bic1CHTWletFjcg3eN0+Iu4WNVDPthHxT9EGEYuIh1O1fn8RNUhOd/CUP0XEcE3IKJdQLRwunON17uCcyszLM/PKqMFGXkIFJ5dFxK2iDWrTlsu27iQlsyupPqu3au9XUaWttM+6FfBi6nzuWg4cmJnbUSXEb2n/rwIOav/v05Ybqx03KzNz28zcbvCiMiRQwdJ2nde2bfk/t/lXs3aN4NVUa475DPxxAtUU8p3UOQOVOfp0ZgZVizSuFHxq144p6P7mt6eaeo4yVzPbBdUCT/MYXeT1/KVUIWm032+42eV+VFBz58x8ZmaOG2xmWtu7iip8jeEXlXGd7yAorwb+pd1PVwAZM4N3DQbq2qzNIyKeBDyVar3zqbaNU9vrDcBjI+IUqqDjgtl2HBH3Ak6JiP1jpnnuC9p6g9fPx6z+NuDKmBlAcJeh+TtFxHuovMmJVAA8zqms3dfxDyOmndL5rANTOWcXc2+IiEMi4s9Dv9kBwN2Gf8uIuCJmGek1ajCu5WPuzwP3Ad6cMzWvA8cAx8+yXtfZVI3bSFm1dvO6T7drxhVUgfoWrHmeDWpHN+9M+wQVGC6najp/TBX278tMU9dfU81L/7dTAzx4EsPfUEH2YHt/Tx0j9wVOHTo3V1C1jAvN170b+FLUQFGzvqjWDk/rrDv4LZ8OPGvM6/pMeJ1u19slmbli6H671dA9duvMXJ6t5VNE7ALs3TbzBKqAjoi4GXXd+wFVkPrOmOVpF22d5RHxLKrS49lUYe2B1DUI6jo7mHYAcG5EHLCO8mDrhQHsLDLzssx8I1WjenjUCIz3a7PPooLW5XSa2bRM46mZ+QQqg/DpKSTlBODidgBdSh3wB3QOqovaTetiZkpYiIjXUReUU6NGZ/sCFaB9naoNORrYMWoUwV0Y0eepKzO/Rw369IaIeG67KW8PfDciXk5l2Ec1A7u0s43TqAvX37ZJ7wK2z8w/dpafLcOxmMKBl1AX4WuoE/wbVOb5re1C/O623YdOuL3HU7UX3Yvyy9q8lw5NX0rd5MjM31A1NYPA5QhmMgIPpfoYngJ8iqo9n48XUhnko9r7pDIuS2a5AG7BHBmrRXoC1cR08Dq+va5PHTM3An4e1Xf3f6jj+1yqueajqJLA7ajvZmS/4iHXsHa/o0m9hToPDmnvX0q1XliIC6ha/vdHjTj8rc52aWl8MdXfZfPO9GkFSsC1IwxmRFwcNYLq/7VZpw9dPzYfsfpVUYU+y2CNJoPXNj2MGlVxbHeUzFydmR+kMiuD5vnDBTLjCmimee2YiqhROx9CXUehzrH5dMcZVTAw27LDhWhTOUYXej1v97jZvuf3Zebf54TN4qewvbnO9dkKIdcQEXsDz6fuBWTm+Zm5eWbeZOi1RWae3Fb7CdXc+ofAnlGFiDfKzJtSY2ccnpm7toKAx6610zUtprBnagULLZO9TafQ66FUnufuQxnyQaa8e/xP65xdzL1hmgVf92ppvKZdJ0f1QTyT0b/LYoKsqckqKP9HqrvB6ohYzcz3dUln2lOoWvzVLSAbLhACuOmIwqKft/1cljN9dKEGrFyr61NEPAa4fs4Uli4kX3c4Vahy1tDrYuoY6U47kzoGBgbH61uo1jSjXmew8HzEpA6mWvZAXSuWtPvLh6h+1qdRn3MzRowsPcIy1g66z6UK2IaPz8F1cV3kwdYL+8BOIDN/1YLX85npjL5HZv4hIl5JBUXbj1jv6Og8F3YR+7/z4P+I+DLVzOS5nWmPp/ok7DbICEQ9U+pvmXl8y2+oG/PLgY9TzaI+1Jbbi8pc/niC5OxAZb5WUs1Wnx4R76RK87YH9ogqhe4eW1e3NN2OOikvo/oIPZfqB/J/EXESndqpWb6LU4EnRMRnqGaJ8/E24K10BkKJ6sv8qMw8vr2/Ajg7IlbOVdo5PL+V0D6JeozDQRHx/mz9cNr+usv/Cfgr4OTM3LuzjSOoDM9n5/nZiIinUv02Htm5ifyAyjS8izWDp8E6O1G/5dja9yn4QGa+aJb5T4jqH3oP6ubzfapJzgVUJuygdoNfAVwaEUtzwhrp+WjH47OAB3YCtavoZOKjM/DTJNvM6hN3GvWZtqIKF95E3Rh/QzW1O5i6Kew+lJ5BoDQYJGa+gdIgDVe0Apo7ZvW72ZXO4BIRcRPqRjl8vK+gztVfUIUgV9JGSARObucKLU3vom7As6XjlIh4fUS8n8mDiqldO6ZkKdW068jMHNwLzqWCwAOpQrF1Zh0cowu5ns9lXgM9TWF7y4F3RMS4DN5EhXMRcXcqsAngsIh4GXXP2Ik6N7ahzolzqOPgJlTh3x2oArnBuBMPAQ6NiMup73GziHgglQk9mgoSRsrqi/bBiPgKM4HdRIU9Q4HDKO/LzIPmWGacV1IZ+t/CzBgfY5adyjnbzq+F3hsupbrrkJmnRfXN/FuqQuFdVP5n0oKvE6jzZAfgl4x+fNK4vqWHUwH08G+2Rdtnd72lVAXDnAPMNbeI8X1g3zZi2q+pZu4fipnBJi+jjtvlmfmniLg58ImWl9mJuq6MvVa3wpqVwKVjjof7Ua0Au+vclBqk8jWDdC4kX5eZDxyTplOoLlCz5aHOo7rCPIIK1t7E2sfAu6kC94lExL2pJuMjB+FqtqUGC/tFRNwTeBxVsfG3VDeae0fE06iWlLcB3k8dO08Cjmu/y0tG5U2z+h1/oOXpfjVBkvfNzG+2/zeKPNh8GcBOIKomczVVEvFT4LQWvO5InfznUn1GRvlORHwhqyZ3sel4DNWP5rERsaJlTDejSove1i3Fzhpp7S5UZmc7qonwy6iM8h7AflGjKx9DNS3+RU42UuQzqM7mXx+antTIpidSNYebUyW+Xb+hLs5XUjeDc6iS6rOiRsub+IRYSOFAZl4V9TyyI6MG1VhKXVB+BNc26dyMGvlun4i476SBSvN4qmnwXtSgH2+m+liM8jzg8VEDDn2bumispr6Xe0fEIMjZDnhs1gA4c7kGeF5m/lfnM/9jRLyaOtevoA2i03E3qo/YfAsDpiozj2rH472p4eyXsuYgJ6czM3jDlRFxg8w8d8zmVrKwmrjHUN/hl2NmsK/Nqfzahe39MmBlRGyXY0aZ7mrn5xXA5zLzdW3aJ4G/A76cmeOe+TvtQCmpjOM1zLS8Ob3uh9c2UR3OgGwPXJyZ1zZFjIi/okqMv5GZj5xPAqKep/0qZoKEJ0fEk9vsuQZ4mda1Y9Kmu+NsSxVkvqoz7e1URmclFUzdZpH7mM20j9HFXM83Cpl5v4jYj+oPenXUyK5PbIVHt8/MOQfha/eFr1ItIj5CNS18DZWBH2zrRdSIwo/vFPoMmmc+gjq2vkv1yb1BZq6OzijEbT+bRcSynGMwnQUW9sxlQQULUbXSD6QKwAYFJV+JiEMy819nWXUq5+xC7g1Mt9D8SupZwIPn3U78PS4yyJrLbzLzliO2PW6b9wK2jojdqFrRO3SmfzIibkt9t/fKzIyIH8K1j1HqOrZz7VlO5YFvR9WGdtNxT2rcj3+hHuUy8B5q8KW1guxpVfrMJWvgtbOp/PTl1OjSw76WmR+Yx2YvBc7PzLHda1qBw6CFwglUX9ufd+bvTV1/XtMKXgbp/VFE/B3Vv/lzzB5YX0k9Fm3sva4df2sUeE05D7ZeGMBO5klUFfpX241r4M5UQPgHZvqVXStqSOvbsbgHq3edQjUvegE1GuV/t+nnsPYQ+mTm5THTbWM5dSG5G9Xk6cXUAXwkVTP32rl23jLjT6My33cB/rYFgttTTR7uSp30x7RgcNinqbb1g36fAINh2IM6MedjXoUDUbXoh1IDOfyi1TR8o1NyvUP7+4mWzs9ExGNnKWnubvtW1G9wcGZeGhEHAN+OiGOHb/IRsQP1/f9t1sjCW3bmHcECa2Azc2Rz9WyPO2nbH579GNYeYXO9axmN/6JaESyPiPOo0RgfSJWWfzsiHkcNZnDAHJu7AQtrEv1XwGXdksWoR9fsmJmPX8D2VjIzgvXn2vb2oEpd/5LKBP5TZv50xLpTC5SiauSWUKW5F1Dn6yva9q6kCl3+MSI2yzWbcu5Ke4RHx+Oo8/hvJg0OOg4CvpiZP4lqpn8oVcB2X1rfn1lM69oxaz+iEYa72ZyfmWuMzttaWQxGV77/PLc/X1M7RqdwPR+Mcj1rX+x5pmne24uIF1P9vH5KK4xs0+8KHB8Rr6f6J852Hf8x1TzuZ9SgOycAj2xBzuejWhtsRdWmnk5rWpj1qJx3tvWvRzXTPBx4cFSLhc2o8Q32oY7TldS5Nzz67PBnWkxhz9REdX34GPD8rD7BA58EPh0Rv8vME8esPpVzdiH3hs59bmqF5tcBt6cKHx9PBU/ntenHUveF51GDNWVEbEG10FnjnGm/3T0z8/TOtCXU6MxbdPMaVPPcz7VgcbDsM6gA6U6zpHNqlT6jtED9TdSIxkdRLSkelZnnts/ykZa+181z05MWNNXIV3UN/0jUkwgGfkE1FX77Witl/ntE3Kb73Y8xKLyZLbjcnpk+zbTlp5kHWy/sAzuHVoq0C1UKPWxf4DvtQBz1XR5IjfT3fyPmzVtmnpSZr8/M+1EZyQdTfSnvAPxTVPOPcfaj+gL8mrrRvoQqXX5M+/uImKUfW/NkqpnDMdQN/AtZ/XpWUd/Rg6iHVA9b2ll/86y29Ldo027T3m9PfV8TmW/hQFRTl89TTcAPbN/Vs6kBaQZ2oC4uZ1KD5GzLiKbhI7Z9L6oW9Vu0jEnWYA7/SGV+Xh5rRo5vAn7aSht/FBHnxcxAE3sD74uZASbOiYi5mnbPtyBqaUv3zlThzGeG5i9h/V8bnkM1Ybyy3USWt1qKLZnp+7EF1eR2rKimUbdlsiY0a2i1VVtHxH9GxC2G50fES9oFfBLLqJLd+1NNhn4ZEbek+uG8OTO/RX2uw1qBxrDzM/MZ3ZrxrP5FX83MLzHLc6NHfTTqWvV96vwf9I37bXv/3Tb/2pqF9j3egk7/24jYk+rD90bqcSbvGTqux4rqqvDXzDzXeGtqJOZLqKD8iWNWnfa1YzNqIJeMmcFuBoUdpw1N34M1g6llwLti7UFgugPF/CtznzsLrgWe8jE67+t5VH/qe7X9fJUqZBnX+miwzjtaAd+oeQveXpQ3UzWlD8963N21MvMH1HH9Emogxi3X3tq1y17Tgta1ZgF/l9VX8k1Uq4mb0Hk0SmZeSNVYbAY8KDMfldVHdjuq1dNhOTNI2orMnDV4ba4t7KGOwUOpc+bhTBDgT6NgoV2HP01dl9fofpKZh1Pn8hERccOhVad9zi7m3vBpqrvOBVQwCxVEX0hdQz84Yp2JRcRjowbGujOjmxavK/O6hrQCqHtQ94C/p46ngaQKgJ5H/XZLqeC2O3jPhe07uwj4ydC0C9ryL+/s75XUOfL6zn52oH6v/XKmVdFwOqdd6TPKpbTnmGbm44D/AE6KqnT4OvWc1QfnmOfxzmIJNWDlWt9b57saLNc1KFRdnpmnZOYrOgWUS+j0w50geO3adZbXYFTqrqnkwdYna2Dn9gLgm63E7r7UTf3yFgA9hRoMCeog6z4zcA/q5rlvRNyYGrVzNZVJvBGwPOrZcUH9Dsuo/pAj+122jOItqNKQv6NKFQ+mDqz7UgM4/DIi/hl4fdbDlaFuYrek+td9mGoys4q6WL2EGhRiT6pZx2ER8YQcMaBGK5F7FTVCI1Rt8KAE52VUxu0rWQMUQWVCBifIlrBWH53BzXVwcq5o62zPZE10DmQehQNZTcveTzWd2Y66aP17ZnY79u8EXJTVt+wUqoBgrKi+Bq+gvst/Bp7dLbHMzPdFPYz6A8Bjoh4SfjLwTKoGbo3+zW2bXwH+NTM/NcnnapYDD4pZngk35MgW0H+KNjry0PzNqZqCgaVMsZZlWCuBfBIz3/d2zAwUcAQ1MMoK6ji6ItauKex6bEvvvGuVWwHOYVSTwFGDkS2jCiS2zsxPzLG5wQPkz4hqNvgMKvD7YGYORn19I9Vy46SIeEbnWBwESrMNzLOCOpYm8UWqhu1SqnR28Fu+hplzbQvq3B70v9q7Lf8rgIi4HlXQ8f7M/E3UyN0n0x4nM0Ea3gH8MDMHTZ/eTMuEZT3z9dtt+vA9aarXjlaqP2mLjZ+wZo3tSmoU6E/Nss79GVF6PmTBtcDTOkYXcT1fTmUuf0O16Hk+1WR2kKG+DLhXtNqYVujxIupREaMKlRazvZdSNXwPGRxX7Tox6GtO1jNV70PVkL+VulbPZknbzqCP56yFES2jdwBVe/sw4OCIOIiqyTqxpeWClge4hgpCt6EeCXLemG0OCnvu1SZdW9gTESMLe9rnvhvVn+5BwP9jzWv4qP28gxoJf1xh38fb53pPVC3/oB/o9dpr27aPwyPi/jnTLHpq5+wi7g3dIHq/dv/fkaqBvU3Lzy1p6Zqkew5UoTZUXmpQ63wRdW09lLrOri9Lmb0P7LuH3j+FCjR/TN3vv8jMtXYJVTPbbW2zO5XPfFcLaPaidTOL6iu+WWZ+pxUKPR34RM6MrPvXVED8tMz8fbtmPZa6xzw6M6/t/hLVJeUrOdOf/0CmWOkzSlZ/24MiYllUreM51O/4Tup4+CfgPhHxU+CcHP1c41E2Z7ImxMODJa4Y+ju8zVnP41nMFuxu030z5TzY+pMbwbN8NtYX9WP9L/VIC6haz/+iTsa/pAZkWNbmPZ462KEuCN+gajyXURmmK6iSwAtZ+9mLl1EZy93HpGNfZh5k/h3qJrzNiOX2pgYZ+EBn2quoE3Mp1U/nw1Sg9iaqGclubbltqRrK649Jwz3ad7HWswWpktjzgV3a+zdQmasj2vtDgM8OrbN9S8P27f0ObRvHUaMFzva77NG+r0dRN8E7UqV2u1NNc//Q/r8tVTt9F2aen/Ywqu/SV2nPUKT6ej2Buoj/aMJjY/f2+51C3SBnW/a21A3jNy29fznLsl+nPVNyHsfpq+k8B3aOZY+hSko3o0YsfvCIZZay5jNz9wPOmuBcuWvndxi8vk41N9t96HVbqpnOllQAdGJnW7ux9nlyIXUOXAF8dJY0/Jpqgj3fc305lWk/ZXAct+kfZs1nLb6EynDtP8f2vkZlGla0Y/qXtOdJj/iu3972e+M27WjmeP4cVbN7wnw/Z1t3VyoY2WqO9H+y/X8jauTiYwfnUZt+L6rv9icY8TzSznI3a5/v6bMsszPwFercfWtn+lSvHYt5URmJZVPYzquZ+/mI3ddzpn2Msrjr+fBzWM8FHtr+v2v7DQdpX00FSbN9HwvaHnWtuUNnvXdQ99IzgR2GtnlLYOsJfpsbtP2saO9/TN3HTxl6ndaWu22bf8+2/BLqPvtRamCnM6nmq93fc/Xg2B2ThqPpPCeYykMsH7Hcswa/OxUon9POgYOo7gV/AO7b5h9MtRDaor3fs6XlXrOk4yCqcOHdVGuiJ1AF3ntQBfJLqPvZccDN1sU5ywLvDVQT+OE03Kh95p3b+82pSoH/pQqfx6VhBXWO/Y7qM/4Tqi/iU6hr4O2pe9rtqLzGvama8t1m2eYpdJ7PvoBryOOAH4yZ91k6ecA27Ut0nlPcpt2kfR87dKbdrqXtTcB/d6b/Dnhc+/9VVMtDqGvSb5nJIx9AHe9vpAqh9qGa9Z9FBUTdZ07vSl2nHtbeLzhf19b/B6rG/Urgr8d8N0upPPypbblzqIB+P+r6fhtqwLJjmHl+6rl0ju+N/UXl5XPMvC2oa+F5tOf4LuY829CvDZ6Ajf3VTsKxGb0x66ygSpJePqU0LKECr7E3vaF9r5hgueXA0vmmY8z0WwD36Lzfnhpqfd6fc8LvYkGFA9QN7L+pgKH7wPdBbdaXgHvPI72DkshJl1856bLz/N62ofrATX3b80jD3ahM7qjfYdTr4rb83akb2+Pm2P4dqQzYE+ZIw6Bp0HzT/wYqUzp4IPseVKbvDOBDQ8u+CThkHtvelhEZ0HHHBlMKlNq2zqBuwKcyk/n+PTOFL93X2dQN6sHMPMT+MW39b1IDQwxvfy+q0ODswXc3Jh1b0zLPsyzzIiqTPOf1a8S6c147+viiMssvXBfH6LjvjCldzzfAd3Vj5nlNHrGNpVTGOuaxztjCm84yQesPO9u2WVxhz1QLFtbD7zXrOUsVtC/o3sB0g+hbUwPt3KG934LqfvS1di29jNEFTzccsa05g6x19F3HpNdI6n51AS2wbNOOBt7Y/r8PFZQub+9fRhVUb021jHhV51j+GdVSYhcqz3Y5M3mzq6nxSGAKlT5UocHHqLz32HsIVejwgOHzZcx3tgtw+w15nizgt74+4wPYW7Zz6ihmKnUWfJ5t6Fe0hEm90JoxHEBlGg6ea3lt/FoTv+/lTDOiUcscSRU0PC6ryem45ZbnzEiZ80nDSmrk0FPb+82pWvoTqRG+zx5afrbHSPRaa17+wMz8r6gRK59M9dsd+b227+ohmfnlUfM1HR6jm4aI2Bq4OtccEGd4mRdRBRdfzLkfn9Nb07w3jFl3yWzb7iw362NDWhevpVTwNWjB9KcRyz2cqpX8GfDhjfW3a93lvju4frTuUueP+g7adejyzMzh73PSa5D5uvVn1DG/rs+zdcUAVpIkSZLUC45CLEmSJEnqBQNYSZIkSVIvGMBKkiRJknrBAFaSJEmS1AsGsJIkSZKkXjCAlSRJkiT1wv8HZ1w5R9DXuwkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rank_rate = dataset[dataset['isDefault'] == 1]['prov'].value_counts()/dataset['prov'].value_counts()\n",
    "rank_rate.dropna(inplace=True)\n",
    "rank_rate.sort_values(ascending = True,inplace=True)\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #解决中文显示问题\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决中文显示问题\n",
    "plt.rcParams['font.size'] = 15\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.figure(figsize=(16,10))\n",
    "plt.vlines(x=rank_rate.index,ymin=0,ymax=rank_rate.values,color='firebrick',alpha=0.7,linewidth=20)\n",
    "plt.title('各省份违约企业比例图', fontsize=30)  #加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rate = dataset[dataset['isDefault'] == 1]['prov'].value_counts() / dataset[dataset['isDefault'] == 1]['prov'].count()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #解决中文显示问题\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决中文显示问题\n",
    "plt.rcParams['font.size'] = 15\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.pie(rate, labels=rate.index, autopct='%3.1f%%',\n",
    "        labeldistance=1.1)  #以时间为标签，总计成交笔数为数据绘制饼图，并显示3位整数一位小数\n",
    "plt.title('违约企业省份分布图', fontsize=30)  #加标题\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.2 违约企业的行业分布\n",
    "绘制违约企业的行业分布饼状图，可以看到不同行业企业违约的风险具有显著差距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '各行业违约企业比例图')"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "rank_rate = dataset[dataset['isDefault'] == 1]['industryphy'].value_counts()/dataset['industryphy'].value_counts()\n",
    "rank_rate.dropna(inplace=True)\n",
    "rank_rate.sort_values(ascending = True,inplace=True)\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #解决中文显示问题\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决中文显示问题\n",
    "plt.rcParams['font.size'] = 15\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.figure(figsize=(16,10))\n",
    "\n",
    "plt.vlines(x=rank_rate.index,ymin=0,ymax=rank_rate.values,color='firebrick',alpha=0.7,linewidth=20)\n",
    "plt.xticks(rotation=270)\n",
    "plt.title('各行业违约企业比例图', fontsize=30)  #加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "industry_rate = dataset[\n",
    "    dataset['isDefault'] == 1]['industryphy'].value_counts() / dataset[\n",
    "        dataset['isDefault'] == 1]['industryphy'].count()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #解决中文显示问题\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决中文显示问题\n",
    "plt.rcParams['font.size'] = 15\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.pie(industry_rate,\n",
    "        labels=industry_rate.index,\n",
    "        autopct='%3.1f%%',\n",
    "        labeldistance=1.1)  #以时间为标签，总计成交笔数为数据绘制饼图，并显示3位整数一位小数\n",
    "plt.title('违约企业行业分布图', fontsize=30)  #加标题\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.3 违约企业的企业类型分布\n",
    "绘制违约企业的企业类型分布饼状图，可以看到不同类型的企业违约的风险具有显著差距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '各企业类型违约企业比例图')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rank_rate = dataset[dataset['isDefault'] == 1]['enttype'].value_counts()/dataset['enttype'].value_counts()\n",
    "rank_rate.dropna(inplace=True)\n",
    "rank_rate.sort_values(ascending = True,inplace=True)\n",
    "rank_rate.drop(index = ['集团','有限责任公司（中外合作）'],inplace = True)\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #解决中文显示问题\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决中文显示问题\n",
    "plt.rcParams['font.size'] = 15\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.figure(figsize=(16,10))\n",
    "plt.vlines(x=rank_rate.index,ymin=0,ymax=rank_rate.values,color='firebrick',alpha=0.7,linewidth=20)\n",
    "plt.xticks(rotation=270)\n",
    "plt.title('各企业类型违约企业比例图', fontsize=30)  #加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "enttype_rate = dataset[dataset['isDefault'] == 1]['enttype'].value_counts(\n",
    ") / dataset[dataset['isDefault'] == 1]['enttype'].count()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #解决中文显示问题\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决中文显示问题\n",
    "plt.rcParams['font.size'] = 15\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.pie(enttype_rate,\n",
    "        labels=enttype_rate.index,\n",
    "        autopct='%3.1f%%',\n",
    "        labeldistance=1.1)  #以时间为标签，总计成交笔数为数据绘制饼图，并显示3位整数一位小数\n",
    "plt.title('违约企业类型分布图', fontsize=30)  #加标题\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. 数据准备"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.1 删除无用的字段\n",
    "将企业ID、是否发债（均为Y）、成立日期，存续日期等无效字段删除"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "drop_list = [ 'ent_id', 'report_period', 'industryco', 'opfrom', 'opto', 'esdate', 'apprdate', 'entstatus', 'city', 'county', 'is_bondissuer' ]\n",
    "dataset.drop(labels=drop_list, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.2 类型特征处理\n",
    "对行业、省份、企业类型三个类型特征进行编码处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 行业字段\n",
    "len(dataset['industryphy'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 省份字段\n",
    "len(dataset['prov'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 企业类型字段\n",
    "import copy\n",
    "enttype = copy.deepcopy(dataset['enttype'])\n",
    "enttype = list(enttype)\n",
    "for i in range(len(enttype)):\n",
    "    if '（' in enttype[i]:\n",
    "        enttype[i] = enttype[i].split('（')[-1][:-1]\n",
    "    else:\n",
    "        enttype[i] = \"无\"\n",
    "dataset['enttype'] = enttype\n",
    "len(dataset['enttype'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>industryphy</th>\n",
       "      <th>enttype</th>\n",
       "      <th>prov</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15</td>\n",
       "      <td>26</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17</td>\n",
       "      <td>34</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>34</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   industryphy  enttype  prov\n",
       "0           17       18    14\n",
       "1           15       26    29\n",
       "2           15       26    11\n",
       "3           17       34    18\n",
       "4           17       34    18"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对类型字段进行编码\n",
    "categorical_cols = dataset.columns[dataset.dtypes == object].tolist()\n",
    "categorical_cols\n",
    "encoder = LabelEncoder()\n",
    "dataset[categorical_cols] = dataset[categorical_cols].apply(\n",
    "    lambda col: encoder.fit_transform(col))\n",
    "dataset[categorical_cols].head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.3 空值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 检查数据中是否存在空值\n",
    "dataset.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "s_fa_roe_avg                    0.839490\n",
       "rd_expense                      0.791148\n",
       "s_qfa_deductedprofittoprofit    0.778038\n",
       "s_fa_deductedprofittoprofit     0.750638\n",
       "s_qfa_roe_deducted              0.742408\n",
       "s_fa_yoyeps_diluted             0.740797\n",
       "s_qfa_deductedprofit            0.740287\n",
       "s_fa_eps_diluted                0.735391\n",
       "s_fa_yoynetprofit_deducted      0.728469\n",
       "s_fa_yoyeps_basic               0.725136\n",
       "dtype: float64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 空值比例统计\n",
    "missing_fractions = dataset.isnull().mean().sort_values(ascending=False)\n",
    "missing_fractions.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['rd_expense', 's_fa_capitalizedtoda', 's_fa_deductedprofit', 's_fa_deductedprofittoprofit', 's_fa_ebitda', 's_fa_ebitdatodebt', 's_fa_eps_basic', 's_fa_eps_diluted', 's_fa_extraordinary', 's_fa_longdebttoworkingcapital', 's_fa_ocftooperateincome', 's_fa_roe_avg', 's_fa_roe_deducted', 's_fa_yoyeps_basic', 's_fa_yoyeps_diluted', 's_fa_yoynetprofit_deducted', 's_qfa_deductedprofit', 's_qfa_deductedprofittoprofit', 's_qfa_expensetosales', 's_qfa_finaexpensetogr', 's_qfa_gctogr', 's_qfa_grossprofitmargin', 's_qfa_impairtogr_ttm', 's_qfa_investincome', 's_qfa_investincometoebt', 's_qfa_ocftoor', 's_qfa_operateincometoebt', 's_qfa_roe_deducted', 's_qfa_saleexpensetogr', 's_qfa_salescashintoor', 's_qfa_yoygr', 's_qfa_yoynetprofit', 's_qfa_yoyop', 's_qfa_yoyprofit', 's_qfa_yoysales', 's_stm_is', 's_stmnote_finexp']\n"
     ]
    }
   ],
   "source": [
    "# 删除空值多于30%的特征\n",
    "drop_list = sorted(list(missing_fractions[missing_fractions > 0.3].index))\n",
    "print(drop_list)\n",
    "dataset.drop(labels=drop_list, axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 用均值填充空值\n",
    "dataset.fillna(dataset.mean(), inplace=True)\n",
    "dataset.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.4 数据不平衡问题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>61934</td>\n",
       "      <td>0.987783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>766</td>\n",
       "      <td>0.012217</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     amount   percent\n",
       "0.0   61934  0.987783\n",
       "1.0     766  0.012217"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# isDefault列标明该企业债券是否出现违约，其中0表示未违约，1表示违约\n",
    "def counter(dataset):\n",
    "    \"\"\" 统计违约样本与未违约样本的个数和频率 \"\"\"\n",
    "    amount = dataset['isDefault'].value_counts()\n",
    "    percent = dataset['isDefault'].value_counts(normalize=True)\n",
    "    count = pd.concat([amount, percent], axis=1)\n",
    "    count.columns = [\"amount\", \"percent\"]\n",
    "    return count\n",
    "    \n",
    "count = counter(dataset)\n",
    "count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "样本中仅有1.2%违约样本，因此存在严重的数据不平衡问题。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 130)"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对未违约样本进行欠采样，以缓解数据不平衡问题\n",
    "neg = dataset[dataset[\"isDefault\"] == 0].sample(1000,random_state= 99)\n",
    "pos = dataset[dataset[\"isDefault\"] == 1]\n",
    "dataset = pd.concat([neg, pos], axis=0)\n",
    "dataset = dataset.reset_index(drop=True)\n",
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>1000</td>\n",
       "      <td>0.566251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>766</td>\n",
       "      <td>0.433749</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     amount   percent\n",
       "0.0    1000  0.566251\n",
       "1.0     766  0.433749"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = counter(dataset)\n",
    "count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### 5. 模型初步选择\n",
    "在未经特征选择的数据上对不用模型进行比较，初步选择表现良好的模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 参数\n",
    "num_folds = 5  # k折交叉验证\n",
    "seed = 2  # 随机种子\n",
    "# 将数据拆分为训练集和数据集\n",
    "X = dataset.drop(\"isDefault\", axis=1)\n",
    "Y= dataset[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=seed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 选择合适的评估指标\n",
    "#scoring = 'accuracy'\n",
    "#scoring = 'precision'\n",
    "#scoring = 'recall'\n",
    "#scoring = 'auc'\n",
    "scoring = 'roc_auc'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 待选模型\n",
    "models = []\n",
    "models.append(('LR', LogisticRegression()))\n",
    "models.append(('LDA', LinearDiscriminantAnalysis()))\n",
    "models.append(('KNN', KNeighborsClassifier()))\n",
    "models.append(('CART', DecisionTreeClassifier()))\n",
    "models.append(('NB', GaussianNB()))\n",
    "models.append(('SVC', SVC()))\n",
    "models.append(('NN', MLPClassifier()))\n",
    "models.append(('AB', AdaBoostClassifier()))\n",
    "models.append(('GBM', GradientBoostingClassifier()))\n",
    "models.append(('XGB', xgb.XGBClassifier()))\n",
    "models.append(('LGBM', lgb.LGBMClassifier()))\n",
    "models.append(('RF', RandomForestClassifier()))\n",
    "models.append(('ET', ExtraTreesClassifier()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR: 0.768199 (0.035578)\n",
      "LDA: 0.870703 (0.034595)\n",
      "KNN: 0.924931 (0.018367)\n",
      "CART: 0.787839 (0.016773)\n",
      "NB: 0.675423 (0.036386)\n",
      "SVC: 0.795406 (0.022929)\n",
      "NN: 0.762147 (0.022080)\n",
      "AB: 0.930654 (0.013499)\n",
      "GBM: 0.966170 (0.013175)\n",
      "XGB: 0.978062 (0.013760)\n",
      "LGBM: 0.980171 (0.013042)\n",
      "RF: 0.954364 (0.016821)\n",
      "ET: 0.972341 (0.011902)\n"
     ]
    }
   ],
   "source": [
    "# 对每个模型进行K折交叉验证\n",
    "results = []\n",
    "names = []\n",
    "for name, model in models:\n",
    "    kfold = KFold(n_splits=num_folds, random_state=seed, shuffle=True)\n",
    "    cv_results = cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)\n",
    "    results.append(cv_results)\n",
    "    names.append(name)\n",
    "    message = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n",
    "    print(message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LR</th>\n",
       "      <th>LDA</th>\n",
       "      <th>KNN</th>\n",
       "      <th>CART</th>\n",
       "      <th>NB</th>\n",
       "      <th>SVC</th>\n",
       "      <th>NN</th>\n",
       "      <th>AB</th>\n",
       "      <th>GBM</th>\n",
       "      <th>XGB</th>\n",
       "      <th>LGBM</th>\n",
       "      <th>RF</th>\n",
       "      <th>ET</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>roc_auc</th>\n",
       "      <td>0.768199</td>\n",
       "      <td>0.870703</td>\n",
       "      <td>0.924931</td>\n",
       "      <td>0.787839</td>\n",
       "      <td>0.675423</td>\n",
       "      <td>0.795406</td>\n",
       "      <td>0.762147</td>\n",
       "      <td>0.930654</td>\n",
       "      <td>0.96617</td>\n",
       "      <td>0.978062</td>\n",
       "      <td>0.980171</td>\n",
       "      <td>0.954364</td>\n",
       "      <td>0.972341</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               LR       LDA       KNN      CART        NB       SVC        NN  \\\n",
       "roc_auc  0.768199  0.870703  0.924931  0.787839  0.675423  0.795406  0.762147   \n",
       "\n",
       "               AB      GBM       XGB      LGBM        RF        ET  \n",
       "roc_auc  0.930654  0.96617  0.978062  0.980171  0.954364  0.972341  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roc_all  = pd.DataFrame(index=names,data = np.mean(results,axis=1),columns=['roc_auc']).T\n",
    "roc_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3gAAAINCAYAAABs9t2IAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAA4SElEQVR4nO3de5hlV10n/O/PpJmgIaFrEkVACChCS4QQmiGBDCSioMBIzKiAjCOYGRiQeEHxlndeAmMExRdUGNAMUbxAR0V5EZA4oonSmgAdFIcYvCSGiwgkdDdJCIEk/OaPfQpOKl1Vp7uq+3Tt+nyeZz9VZ1/XOvfvWWuvXd0dAAAANr4vm3cBAAAAWB8CHgAAwEgIeAAAACMh4AEAAIyEgAcAADASAh4AAMBICHgAh7mqek5VdVU9foV1Tp+sc8IhLNqy1lqeqrq2qs5b31KteLx7VdUfVNWNVfWJqnpZVR15qI5/MB1uzw0ADi4BD+Dw9y1L/m4EVyX53iTXLbdCVZ1XVScdshItX45jk1ya5N8neXGSC5K8IMkvzq9U62rVxwKA8RjFr5MAY1VVX5bkmyY3N0zA6+5PJPntVVZ7UZJrk/zNwS7PKl6Q5OuSnN7df54kVdVJfrqqfqa7Pz7X0q3RjI8FACOhBQ/g8LY9ydYkv5nkIVX1lXMuzxg9PclVi+Fu4uIkRyR51HyKBAAHRsADOLw9PsmtGboLVg6wFa+qfrSqPlxVe6rqwqr671X1qar64al1nlxVf11Vn6uqD1bV9+1jP11Vz6yq+1XVjqq6rqoeuo/19nne12TbnrSQJcmvL96uqtP3sZ9vraoPVNVnqupdVfW1k/mvr6o/r6pfrKqbquodVfW4qvpQVf1rVT12xvvl7kkekOR9Sxb9c5LfSfLpWe6fWcszqedPVdX/rqpbJucaPmcf5XpWVf1dVd1cVf9YVc/bxzpreiymlv/nqrpycqx/rqqf2sc6Kz43JvX4map6fFX9n6WPFwCHjoAHcHj7liR/naEb46dyAAGvqr47ycuTvDHJuUkel+SsJM/PcO5Zquo7krwlyQ0Zuiz+fZLXV9UP7GOXX5Pk3Um+frLN7v0ozl9kOB/seye3L5i6fdWSdR+Z5KIkb0rysxlaM18ztfxRSU5I8ltJvjXJjgxB+AtJfnjG8tx38vdj0zO7+1+7+2nd/afJzPfPrOV50eTvj2ao869U1TMXF1bVdyb5tSTvT/KDSf4kyf+sqn099mt5LFLDwD2/keQfJsd6c5KfXRJeZ31ubM8Qin8/yflJHp47Pl4AHArdbTKZTKbDcEpydJLPJ3nF5PZbk3x0mXVPT9JJTtjHslcl2TV1+/lJbp66XRnOhduV5Iip+W/N8KX+blPzOsnNSf7fVcq+bHmW7OuZyyy7drL8SVPzfiHJTZP/X5/k+iRHZQg3neTHJsvemOTSGe/jR0+2fckK66x6/8xansn8/7O4nww/tP5tkg9O7feFSX49SU3N+0CSX9jH/bemxyLJeZNld1sy72n789yYeryeMrXOyxcfL5PJZDIdukkLHsDh67FJtiS5sqqOyxAE7lVV37Cf+9mV5IFV9Ziqul+S/5DkmqnlX5+hJes3uvv2qfn/K0N4OWXJ/q5M8j/2swwH4vLufvvU7b9L8hVTtz/Y3bdkCMHJlwZr+Xxm94XJ3yOmZ1bVXarqpKr6t5n9/pm1PL+7uJ/u/kKGsPTAqjpmMu/l3f2sJA+oqu+tqt9K8qAkx+2j/Gt9LN4z+fvKqjqtqu7a3ed190WT+fvz3NjV3W+Zun1V7vh4AXAICHgAh6/F6969LsMQ9z+9ZP6s/nzq7zVJHprkv00tXwwO/7pku8Vui0sHdvm17u4cfO9dcvsLS27ftsrtWXxq8vffLpl/vwxdY5+S2e+fWcvzyWXKcLckqaqHV9UHMnSF/LkMrYIfWmZfa3osuvuPkvxAklOTvCvJ3qp609RgPvvz3Fjt8QLgEBDwAA5f35Lh3KhvmZo+nf0/D+9XM5x793VJ/l2S+3X3zqnl10/+fvWS7e45+bv0+mmf3c/jH6j9Op/sAF2doZvjNy6Zf+/J33/N/t8/q1m6n6/M0L1xcUCXN2W4jx/Q3ffs7u9K8pFl9rXmx6K7X9PdD84Qcp+T5ElJXjFZvD91PxSPFwCrEPAADkNVda8k25K8o7vfuThlaIV7bFXdZT9296Akt3T31d393u5eGgr+IUML0fdV1XRXxf+a5MYklx14TVa0O5NWq3mZdDv8wySnVNWJU4uekmH00ndn/e+fp1XVkUky2d+3J/lAd9806Yp7QpI3dfc/TdZ5UJJH7G/dZlFVr6mq1ydJd+/u7tcn2ZmhlTeZ33MDgAPkQucAh6fFVrp3Lpn/zgyB4NR8qevlanYlecmk292HM3wx/+fu/psk6e6uqh/JMPrhn1bV72XoBvrkJOd0941rqcgK/iTJj1TV5zOca3hyd3//QTrWSs5N8oQk76iql2c47+wHkvxyd+9OktXun6ran+PdK8nFVfXmDI/ltiTfM1n2qSQfT/Kcqvp0hvPfnpvh/rnrmmq5b7uSvK6qbspwqYivT3JGhm7B83xuAHCAtOABHJ6+JcM5XEtD3J9O/u7PeXg7khyb5JwMw+//QZK/rqp31iSZdPdi2Lh7hu55D8owwuWrD7QCMzgnyRVJfn4yzaU1r7uvyTCa5geSvDTJd2YY5v8FU+us5/1zXoaulb+Q5IFJ/mt375gcp5OcmaHr4yuTfFeS/56h2+ajq+qoAzjesrr715L8UIaRNl+V5PsydOn90al15vHcAOAA1aE5Tx6AeaiqB2QYrOMXMwzPf1uSL88QIr45yXHd/enltmd91XCB92dNukICwLrTRRNg3K7J0Bp1Vobzpo5KsjdDd7wzhTsAGBcteAAAACPhHDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkThy3gXYX8cdd1yfcMIJ8y4GAADAXFxxxRXXd/fx+1q24QLeCSeckF27ds27GAAAAHNRVR9abpkumgAAACMh4AEAAIyEgAcAADASAh4AAMBICHgAAAAjIeABAACMhIAHAAAwEgIeAADASAh4AAAAIyHgAQAAjISABwAAMBIzB7yqOqKq/qiqnrkf25xUVZdX1Y1V9eaqWliy/Jyq+peq+kRV/ch+lBsAAIAlZgp4VXVUkt9O8m2z7riqjk1ycZIPJnlokmuTvG5q+dOSvDzJC5KcnuTZVfXts+4fAACAO5q1Be+1ST6T5K/2Y9//KcmWJM/r7muS/FSSx1bVvSfLfzTJ67v7d7r7qiQvSvKD+7F/AAAApswa8M7v7v+S5Nb92PfJSd7V3TcnSXffkuRvkpxSVZXkpAwtfIsuS/LI/dg/AAAAU2YKeN39Twew72OTXL1k3t4k90ryFUmOXLJ8b5KjJ10776Cqnl1Vu6pq13XXXXcARQEAABi/gzmK5m1Jblky7+YkR0+WZcnymyd/j166o+6+oLu3d/f2448/ft0LCgAAMAYHM+Bdn+QeS+Ydm+Rzk+6an1myfLHl7nMHsUwAAACjdTAD3mVJTlu8MTnv7uFJPrKv5Um2Z2jF230QywQAwCqqas0TMB9rCnhVdVRV3alL5cQfJrlnVT17cvs5Sf5tkndObr8hyQ9W1X0ml2H4qSR/1N1fWEuZAABYm+5ecZp1HeDQO3KN2/9kkidnaH27g+6+saq+P8nrq+rFSY5L8gPd/anJKr+Z5AlJ/j7DuXg3JnnWGssDAABrsh4tkEIu81IH+8lXVV+V5JQkV+5rNM6qOjnJVyf5i+6+cbX9bd++vXft2rX+BQUAYCZVtakDzGavP/NXVVd0950a2ZK1t+Ctqrs/keQtKyx/38EuAwAAwGZwMAdZAQCAw87CwsKaB5BZy/YLCwtzvgcYs4PeggcAAIeTPXv2zLWLpVFGOZi04AEAAIyEgAcAADASumgCAABM2ciXyhDwAAA2mYWFhezZs2dN+1jLF+CtW7dm9+7dazo+HEyrhbPD+VIZAh4AwCZjkBEYL+fgAQAAjISABwAAMBICHgAAwEgIeAAAwKaysLCQqjrgKcmatl9YWDhodTPICgDAEht5iHRgdWMeaEjAAwBYYiMPkc7q+kXHJOcdO9/jw0Ei4AEAsKnUi2+Ye+tNnze3wzNyAh4AwCajBQvGS8ADADaVhYWF7NmzZ837Wcs5NFu3bs3u3bvXXIYDpQULxkvAAwA2lXkPrpAc3AEWgM3NZRIAAABGQsADAAAYCV00AQCAO3AtyI1LwAMAAO7AtSA3Ll00AQAARkLAAwAAGAkBDwAAYCScgwcAwKYzz2sRbt26dW7HZvwEPAAANpW1Dg5igBEOZwIeAACwqfSLjknOO3a+xz9IBDwAANhkFhYWsmfPnjXtYy3dXLdu3Zrdu3ev6fhrUS++Ya6tsFWVPu/g7FvAAwCATWbPnj1zDzgcHEbRBAAAGAkteADApjLvc2++WAaAg0DAAwA2lXmfe5Mc3PNvgNmM9VIZAh4AwCY01i+3MIsxXypDwAMA2GTG/OUWNjsBDwCAO5ildW+1dQRAmA8BDwCAO9js4UzAZSMT8AAAYIpwxkbmOngAAAAjoQUPAAA2mXlfD9K1IA8eAQ8A2HTmeYmAxGUCmL95Xw/ycL8W5EY+D1PAAwA2lfX40uUyATBuG/n17Rw8AACAkdCCB0usR7edjfyrDwAAG9dMLXhVtbWq3lRVN1TVFVX1kBm3e3JVXVZVN062+7apZVuq6rNV1VPTrgOtCKyX7l5xmnUdAAA41Gbtorkjyf2TnJrkFUneUlVHr7RBVW1P8uYkr0vytUl+Pclbq+qMySonJdmbZOvUdPp+lR4AAIAvWjXgVdWDkzwhyfO6+8rufkOSq5Kcucqm35/kj7r7wu7+ZHe/Osl7knzHZPmjkryru/dOTTcdcE0AAAA2uVla8E5Osre7L5+ad1mSU1bZ7vgk1y6Zd9tkSoaA9/Cq+tSk6+cbq+q4GcoDABxEVbXmCYD5mCXgHZvkmiXz9ia51yrb7UryxMWunJPz9k5J8rbJ8gdk6MJ5cpLHJvmGJK/a146q6tlVtauqdl133XUzFBkAOFDORQbYuGYZRfO2JLcsmXdzkhXPwcsQ1k5N8rdV9f4kj0vy/u7+syTp7pOn1v1QVb0gycVVddfu/uz0jrr7giQXJMn27dt9agAAAOzDLC141ye5x5J5xyb53EobdffN3X1mksck+YMkd0vyYyts8rEkW7J6yyAAAAD7MEvAuzzJfatqOnhtT/KRWQ7Q3R9N8tQkv9fdf54kVXVCVb2/qrZMrfroJLcm+fhMJQcAOEhmOcfQeYjA4WjVLprd/dGq2pnkpVX1rCQnJjkryX+sqiOTHN3de5fbfnJZhNOTbJva57WTbV9TVa/JcD7ey5L8kpE0AYB5cx4hsFHNeh2852YYCOUTSd6b5He7++1JTkuyZ7lr4lXVEUl+KcnPdPfSFr8zk3xdhhE5fyHJK5P89P5WAAAAgMEsg6yku6+qqm0ZQt7u7n73ZP6lSZbtg9Ddtyd5yDLL/jHJGftaBgAAwP6bKeAlw6ApSd5xEMsCAADAGszaRRMAAIDDnIAHAAAwEgIeAADASAh4ALDJLCwsrHoNt7VeA26laWFhYc73AMB4zTzICgAwDnv27Jnrdd5cBBzg4NGCBwAAMBICHgAAwEjoogkAAJvQPLtLb926dW7HHjsBj01nYWEhe/bsWdM+1vKGuHXr1uzevXtNxwcAWIu1nodbVXM9l5flCXhsOgYXAABgrAQ8AADgDmb5QXq1dbTwzYeABwAA3IFwtnEZRRMAAGAkBDwAAICREPAAAABGwjl43Ml6jPKo3zYAABx6Ah53slo4c90TAAA4POmiCQAAMBJa8ABgk+kXHZOcd+x8jw/AQSHgAcAmUy++Ya5d7asqfd7cDg8warpoAgAAjIQWPDYdXZMA1mfE5AO1devWuR0bYOwEPDYdXZOAzW6t74FGUwY4fOmiCQAAMBICHgAAwEgIeAAAACMh4AEAAIyEgAcAADASAh4AAMBICHgAAAAjIeABAACMhIAHAAAwEgIeAADASAh4AAAAI3HkvAsAABxeqmrN63T3ehUHgP0g4AEAdyCcAWxcumgCAACMhIAHAAAwEgIeAADASDgHj01plgEEDpatW7fO7dgAAIybgMems9bBA6rKAAQAAByWdNEEAAAYCQEPAABgJHTRhCVc4BcAgI1qpha8qtpaVW+qqhuq6oqqesiM2z25qi6rqhsn233bkuVPraqrq+pTVfWyqtKiyNx195onAACYh1kD1Y4k909yapJXJHlLVR290gZVtT3Jm5O8LsnXJvn1JG+tqjMmyx+d5A1JXpnkkZN9P/8A6gAAAEBmCHhV9eAkT0jyvO6+srvfkOSqJGeusun3J/mj7r6wuz/Z3a9O8p4k3zFZ/sNJ3tndr+7uf0rywiTnHFg1AAAAmKUF7+Qke7v78ql5lyU5ZZXtjk9y7ZJ5t02mxf1ePLXsiiT3rarjlu6oqp5dVbuqatd11103Q5EBAAA2n1kC3rFJrlkyb2+Se62y3a4kT1zsyjk5b++UJG+b2u/Viyt39+1JbtzXfrv7gu7e3t3bjz/++BmKDAAAsPnMMormbUluWTLv5iQrnoOX5FUZzqv726p6f5LHJXl/d//ZGvcLAADAPszSgnd9knssmXdsks+ttFF339zdZyZ5TJI/SHK3JD+2yn6PWW2/AAAA7NssAe/yDOfGTXed3J7kI7McoLs/muSpSX6vu/98atFlSU5bvFFVX58h4H10lv0CAABwR6sGvElA25nkpVV1RFU9NMlZSd5WVUdW1d1X2n5yWYTTk/zokkVvSPKMqnrY5Pp3L0qyq7s/vv/VAAAAYJZz8JLkuRlGvPxEhla2i7r77VV1epJLqupu3X3T0o2q6ogkv5TkZ7r7Di1+3X1pVb02w6UT9iQ5Ism3HmhFAAAANruZAl53X1VV25I8Nsnu7n73ZP6lSWqF7W5P8pAVlr+wqi5M8sAkf9nd1+9H2QEAAJgyawteuvvmJO9Y7wJ09weTfHC99wsAALDZzDLICgAAABuAgAcAADASAh4AAMBICHgAAAAjIeABAACMhIAHAAAwEgIeAADASAh4AAAAIyHgAQAAjISAtwktLCykqg54SrKm7RcWFuZ8DwAAwDgdOe8CcOjt2bMn3T234y+GRAAAYH1pwQMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGIkj510ADr1+0THJecfO9/gAAMC6E/A2oXrxDenu+R2/Kn3e3A4PAACjpYsmAADASAh4AAAAIyHgAQAAjISABwAAMBICHgAAwEgIeAAAACMh4AEAAIyEgAcAADASAh4AAMBIzBTwqmprVb2pqm6oqiuq6iEzbvedVfUPVXVLVV1dVWdPLdtSVZ+tqp6adh1oRQAAADa7I2dcb0eSr0xyapKTkrylqr6xu29aboOqOiHJ65I8Ncn7k5ye5Der6v3dvWuyn71Jtk1tdtt+lR4AAIAvWrUFr6oenOQJSZ7X3Vd29xuSXJXkzFU2fUSSf+zuP+7uj3f3RUk+nORBk+WPSvKu7t47NS0bGAEAAFjZLF00T06yt7svn5p3WZJTVtnuyiQnVtWTqurLq+oZSe6R5NLJ8kcleXhVfWrS9fONVXXcvnZUVc+uql1Vteu6666bocgAAACbzywB79gk1yyZtzfJvVbaqLv/LslLk7wtyWeS/FaS/9LdH52s8oAkb84QIB+b5BuSvGqZfV3Q3du7e/vxxx8/Q5FZTVXNbdq6deu8qw8AAKM0yzl4tyW5Zcm8m5McvdJGVXVSkv+WIby9J8lTkvxqVX2su/+iu0+eWv1DVfWCJBdX1V27+7OzVoD9191r2r6q1rwPAABg/c3Sgnd9hq6V045N8rlVtvveJBdNwtwt3f07Sd6R5FnLrP+xJFuySssgAAAA+zZLwLs8yX2rajp4bU/ykVW2OzJ3DoZfleSIqjqhqt5fVVumlj06ya1JPj5DmQAAAFhi1YA3OWduZ5KXVtURVfXQJGcleVtVHVlVd19m08uTnFVVP1lVT62qX0lyRpLf7+5rMwTA11TVw6rqu5O8LMkvGUkTAADgwMx6HbznJrk4ySeSHJOh6+Xbq+r0JJdU1d2WBrPu3lFVX5XkeUnum6Gr509091smq5yZ5IIMI3J+Mskrk7x8TbUBAADYxGrWwTKq6sszDJiyu7vffVBLtYLt27f3rl275nV4YpAVAACYp6q6oru372vZrC146e6bMwySAgAAwGFolkFWAAAA2AAEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABiJI+ddAA4/VbXmdbp7vYoDAADMSMDjToQzAADYmHTRBAAAGAkBDwAAYCR00VxilvPPZqGbIwAAcKgJeEvMEsyqSoADRms9fujyHgkA8yHgAXAHq4UzP3IBwOHLOXgAAAAjIeABAACMhIAHAAAwEgIeAADASAh4AAAAIyHgAQAAjITLJAB34jpoAAAbk4AH3InroAEAbEy6aAIAAIyEgAcAADASAh4AAMBICHgAAAAjIeABAACMhIAHAAAwEgIeAADASAh4AAAAIyHgAWwyCwsLqaoDnpKsafuqysLCwpzvBQAYpyPnXQAADq09e/aku+dahsWgCACsLy14AAAAIyHgAQAAjMRMAa+qtlbVm6rqhqq6oqoeMuN231lV/1BVt1TV1VV19pLlT53M/1RVvayqBE4AAIADNGug2pHk/klOTfKKJG+pqqNX2qCqTkjyuiTnJDkhyblJXltV2yfLH53kDUlemeSRk30/f79rAAAAQJIZAl5VPTjJE5I8r7uv7O43JLkqyZmrbPqIJP/Y3X/c3R/v7ouSfDjJgybLfzjJO7v71d39T0lemCEMAgAAcABmGUXz5CR7u/vyqXmXJTklyW+vsN2VSU6sqicluSTJdyS5R5JLp/b7qqn1r0hy36o6rruvn95RVT07ybOT5D73uc8MRQZgOf2iY5Lzjp1/GQCAdTdLwDs2yTVL5u3NENCW1d1/V1UvTfK2xVlJvqe7Pzq136un1r+9qm5Mcq8k1y/Z1wVJLkiS7du3z3dsb4ANrl58w2FxmYQ+b65FAIBRmuUcvNuS3LJk3s1JVjsH76Qk/y3JY5PcNcnTk/xKVT1mLfsFAABg32YJeNdn6Fo57dgkn1tlu+9NclF3/0V339Ldv5PkHUmetcJ+j5lhvwAAAOzDLAHv8gznxt1rat72JB9ZZbsjc+cA91VJjpj8f1mS0xYXVNXXZwh4Hw0AAAD7bdWANzlnbmeSl1bVEVX10CRnJXlbVR1ZVXdfZtPLk5xVVT85ud7dryQ5I8nvT5a/Ickzquphk+vfvSjJru7++BrrBAAAsCnNMshKkjw3ycVJPpGhle2i7n57VZ2e5JKqult33zS9QXfvqKqvSvK8JPfN0CXzJ7r7LZPll1bVa5O8J8meDC1737r2KgEAAGxONetIalX15RkGTNnd3e9etwJUPSjJA5P85dLLI+zL9u3be9euXet1+ANSVXMfgQ7WYmFhIXv27Jnb8bdu3Zrdu3fP7fib3eHwHnY4lAEANqqquqK7t+9r2awteOnumzMMkrKuuvuDST643vsFlrdnz565frmuqrkdGwBgzGYZZAUAAIANYOYWPADGY96tqFu3bp3r8QFgrAQ8gE3GuW8AMF66aAIAAIyEgAcAADASumgCwBLrcY6irrAAzIOABwBLrBbOXMcPgMOVgAebUL/omOS8Y+d7fAAA1p2AB5tQvfiGuV/ovM+b2+EBAEbLICsAAAAjIeABAACMhIAHAAAwEpsu4C0sLKSq1jQlWdP2CwsLc74XAACAMdp0g6zs2bNn7kNbr8f1lQAAAJbadC14AAAAYyXgAQAAjISABwAAMBKb7hw8YDDPc0G3bt06t2MDAIyZgAeb0FoHGqqquQ9WBADAnemiCQAAMBICHgAAwEgIeAAAACOx6c7B6xcdk5x37PzLAAAAsM42XcCrF98w98Ehqip93lyLALCpLSwsZM+ePWvax1pGot26dWt27969puMDwL5suoAHAHv27Jnrj33zvEwJAOMm4AGw6cy7u76u+gAcLAIeAJvOvLvr66oPwMFiFE0AAICR0IIH3Mks5wetts68BzMCANiMBDzgToQzAICNSRdNAACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEbCZRIA2JRmud7jwbJ169a5HRuAcRPwANh0XOsRgLHSRRMAAGAkBDwAZrJjx46ceOKJOeKII3LiiSdmx44d8y4SALCELpoArGrHjh0599xzc+GFF+a0007Lzp07c/bZZydJnv70p8+5dADAIi14AKzq/PPPz4UXXpgzzjgjW7ZsyRlnnJELL7ww559//ryLBgBMqY12ovn27dt7165dB7x9Vc395PrDoQwA++OII47ILbfcki1btnxx3q233pqjjjoqt99++xxLBgCbT1Vd0d3b97Vspha8qtpaVW+qqhuq6oqqesgM2zyzqnof07WT5Vuq6rNLlh14cgPgoNm2bVt27tx5h3k7d+7Mtm3b5lQiAGBfZu2iuSPJ/ZOcmuQVSd5SVUevss0bk2xdMv1Gkosny09KsnfJ8tNnLjkAh8y5556bs88+O5dcckluvfXWXHLJJTn77LNz7rnnzrtoAMCUVQdZqaoHJ3lCklO7+8okV1bVM5KcmeS3l9uuuz+f5PNT+3lgkv+QZPHn3kcleVd37z3QwgNwaCwOpHLOOefkqquuyrZt23L++ecbYAUADjOzjKJ5cpK93X351LzLkpySFQLePrwkyau7+5OT249K8vCq+lSSLUneluQHu/v6/dgnAIfI05/+dIEOAA5zs3TRPDbJNUvm7U1yr1kPUlX3T/LEJK+emv2AJG/OECAfm+Qbkrxqme2fXVW7qmrXddddN+thAQAANpVZWvBuS3LLknk3J1ntHLxpP5Tkou7+Yjrr7pOnln+oql6Q5OKqumt3f3Z64+6+IMkFyTCK5n4cFwAAYNOYpQXv+iT3WDLv2CSfm+UAVXWXJM9I8lurrPqxDF01Z24ZBAAA4EtmCXiXJ7lvVU0Hr+1JPjLjMZ6Y5LNJ3rU4o6pOqKr3V9WWqfUeneTWJB+fcb8AAABMWTXgdfdHk+xM8tKqOqKqHprkrCRvq6ojq+ruq+zi25P8SU9d2bu7r83QPfQ1VfWwqvruJC9L8kvdfdOBVQUAAGBzm+UcvCR5bobr130iyTEZzqd7e1WdnuSSqrrbCsHs8Un2daGkMzOcV3dZkk8meWWSl89c8jWoqkNxmGVt3bp1rscHAADGaaaA191XVdW2DKNd7u7ud0/mX5pkxbTU3fdeZv4/Jjljv0q7DqYaEg9YVa3LfgAAANbTrC146e6bk7zjIJYFAACANZhlkBUAAAA2AAEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYiSPnXQCAw01VrXkf3b0OJQEA2D8CHsASq4WzqhLgAIDDki6aAAAAIyHgAQAAjISABwAAMBICHgAAwEgIeAAAACMh4AHAjHbs2JETTzwxRxxxRE488cTs2LFj3kUCgDtwmQQAmMGOHTty7rnn5sILL8xpp52WnTt35uyzz06SPP3pT59z6QBgoAUPAGZw/vnn58ILL8wZZ5yRLVu25IwzzsiFF16Y888/f95FA4Avqo12sd7t27f3rl275loGFzmGzc17wOZ0xBFH5JZbbsmWLVu+OO/WW2/NUUcdldtvv32OJQNgs6mqK7p7+76WacEDgBls27YtO3fuvMO8nTt3Ztu2bXMqEQDcmYAHADM499xzc/bZZ+eSSy7JrbfemksuuSRnn312zj333HkXDQC+yCArADCDxYFUzjnnnFx11VXZtm1bzj//fAOsAHBYcQ7eElW1LvvZaPcrMDvn4AEA87TSOXha8JbwpQ0AANionIMHAAAwEgIeAADASAh4AAAAIyHgAQAAjISABwAAMBICHgAAwEgIeAAAACMh4AEAAIyEgAcAADASAh4AAMBICHjAprOwsJCqOuApyZq2X1hYmPM9AACM1ZHzLgDAobZnz55099yOvxgSAQDWmxY8AACAkRDwAAAARmKmgFdVW6vqTVV1Q1VdUVUPmWGbZ1ZV72O6dmqdp1bV1VX1qap6WVUJnAAAAAdo1kC1I8n9k5ya5BVJ3lJVR6+yzRuTbF0y/UaSi5Okqh6d5A1JXpnkkZN9P38/yw8AAMDEqoOsVNWDkzwhyandfWWSK6vqGUnOTPLby23X3Z9P8vmp/TwwyX9Ism0y64eTvLO7Xz1Z/sIMge+XD6QiAAAAm90sLXgnJ9nb3ZdPzbssySn7eayXJHl1d39yar8XTy2/Isl9q+q4/dwvAAAAmS3gHZvkmiXz9ia516wHqar7J3liklcv2e/Vize6+/YkN+5rv1X17KraVVW7rrvuulkPCwAAsKnMEvBuS3LLknk3J1ntHLxpP5Tkou6eTmcz77e7L+ju7d29/fjjj9+PwwIAAGwes1zo/Pok91gy79gkn5vlAFV1lyTPSHLWDPs9Ztb9AgAAcEeztOBdnuHcuOmuk9uTfGTGYzwxyWeTvGvJ/MuSnLZ4o6q+PkPA++iM+wUAAGDKqgGvuz+aZGeSl1bVEVX10AytcW+rqiOr6u6r7OLbk/xJd/eS+W9I8oyqetjk+ncvSrKruz++37UAAABgpi6aSfLcDCNefiJDK9tF3f32qjo9ySVVdbfuvmmZbR+f5NylM7v70qp6bZL3JNmT5Igk37p/xQcAAGDRTAGvu6+qqm1JHptkd3e/ezL/0iS1yrb3XmHZC6vqwiQPTPKX3X39rAUHAADgjmZtwUt335zkHetdgO7+YJIPrvd+AQAANptZBlkBAABgAxDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJAQ8AACAkRDwAAAARkLAAwAAGAkBDwAAYCQEPAAAgJEQ8AAAAEZCwAMAABiJmQJeVW2tqjdV1Q1VdUVVPWR/DlJVJ1fVZ6rqwUvmX11VPTVdvz/7BQAA4EuOnHG9HUm+MsmpSU5K8paq+sbuvmm1DavqLkl+I8kvdPeVU/OPT3KfJPdM8tnJ7C/MXnQAAACmrRrwJq1uT0hy6iSgXVlVz0hyZpLfnuEYL05yRJLzl8x/VJK/7u5/3a8SAwAAsE+zdNE8Ocne7r58at5lSU5ZbcOq+ndJXpjkLUmeXlUnTC1+VJKvrqp/raqbq+rtVXW/2YsOAADAtFm6aB6b5Jol8/ZmCH7LqqpK8toke5LUZP1XVtULuvv1SR6Y5JIkP5MhaL4qyRszdANduq9nJ3l2ktznPveZocgAy+sXHZOcd+x8jw8AcBDMEvBuS3LLknk3Jzl6le0enSHUfVt3X5wkVfW+JP+zqn6nu8+cXrmqnpPk6qr62u6+enpZd1+Q5IIk2b59e89QZoDlnffpNW1eVen2VgQAHH5m6aJ5fZJ7LJl3bJLPrbLdfSbr/PHUvPcm+Yok997H+h+b/NVNEwAA4ADMEvAuT3LfqrrX1LztST6yynYfyjC4ylFT805IcnuST1bVB6vquKllj578/fAMZQIAAGCJVQNed380yc4kL62qI6rqoUnOSvK2qjqyqu6+zKbvTvJPSV5bVSdU1SOS/FyS3+vuT2c4r+/XquoRVfVtSf5Xkjd19z+svVoAAACbz0wXOk/y3CSPTfKJDN0sf7e7357ktCR7qupO5+N1920ZLq9wdJL3JXlnkg8kec5klWcm6SSXJvn1JH+Q5FkHWA8AAIBNb6YLnXf3VVW1LUPI293d757MvzTDCJnLbffhJN+5zLJPJnnK/hYYAACAfZsp4CVJd9+c5B0HsSwAAACswaxdNAEAADjMCXgAAAAjIeABAACMhIAHAAAwEjMPsgKwWVQtOzjwzOt093oVBwBgZgIewBLCGQCwUemiCQAAMBICHgAAwEgIeAAAACMh4AEAAIyEgAcAADASAh4AAMBICHgAAAAjIeABAACMhIAHAAAwEgIeAADASAh4AAAAIyHgAQAAjISABwAAMBICHgAAwEgIeAAAACMh4AEAAIyEgAcAADASAh4AAMBIVHfPuwz7paquS/KhORfjuCTXz7kM86T+m7v+iftA/Td3/RP3wWavf+I+UP/NXf/EfTDv+t+3u4/f14INF/AOB1W1q7u3z7sc86L+m7v+iftA/Td3/RP3wWavf+I+UP/NXf/EfXA4118XTQAAgJEQ8AAAAEZCwDswF8y7AHOm/mz2+0D92ez3wWavf+I+UH82+31w2NbfOXgAAAAjoQUPAABgJAQ8AACAkRDwllFVp1dVV9XR+1h27WRZV9Wnq+qdVXXyPMq5Xmas7y1VdWVV/VhVfdmSdY6tqs9X1TmHrtTrq6qeWVXXT90+sao+U1UvmNT/t6aWLd5fJ0y266p63NTy11fVpYe4Cvutqr68qi6oqhuq6kNV9aNLlv98VX1y+vGeqm9X1W1V9c9V9ZKqqsny3td0qOu2Vis9rpNpsW6fqaq/3OjvAYsmz/tLq+qmqvr7qnp6VT16UtdtS9b9UFW9ZPL/is+ljWiG58A/V9URU8u6qp45l8IeRPt6f1/yOXhDVV1cVfefZznXS1UtVNXvTV7b/1BVT5vMX7bOVXXeZP4zJrfvPbl96Ryrst+q6t9V1Req6sTJ7S1V9eGq+qnJ7adV1dWT7z5vqqqFyfzpz4XbJ6+NH55jVWZWK3z/mSw/oDpP5v/j1O3XTeadfpCrtK5W+sxf8pqYnk6Zd7nXUw3f9fZVz/NWuA9OmGeZBbwD9+NJFpKckmR3krfXktAzMj+e5MFJfiXJS5L8/JLlj0+yJckTD3G5DoqquluS30/yh939isnsp1XV16yw2Y8f/JKtu19NclqSxyR5epKfqKqnTi1/UpLjkzxiyXa7k2xNcu8kL0jyI0meO1m2dTLtSPKHU7c3quUe11dnqNfXJrkiyR9Of9nfiKrqqCTvSHJpkq9P8sokv5Vkb4bH/Jum1n1Akvskedtk1mrPpY1suefACUm++xCWY16We3//8QyvgQcnuTHJGw9xuQ6W30zylUkenuTcJL+9GHiyep0fuuTvhtLd70ny1iQ/OZn1PUn+TZJfrqpHZrhv/keSh2W4H351avPFz4XjMnwe/GxVfeshKvpBsQ51/tqp4LghnxMTK33mL74mpqf3zqGMh8Kjcsd6vizJQyb//1ySv5la9uH5FHEw5kBysH22u/d091UZXvj3SLLSl/+N7rPdfXV3vyrJTyf5gao6Zmr5k5L8aZLTq+rL51LC9fVrSW5JcvbUvMrwxrYvtyd5fFVtmDfwSVh9RpLndPffdPdfZfgge9Zk+QlJHpThy/6Tlmze3b23uz/e3W9O8r8zCYGT+XuTfD7JrVO3N6KVHtfPLd4HGT7w75Uh8Gxk2zJ8gL+2uz/W3b+S5HeT3C/JxUkeN7Xu45J8Msl7V3subXArPQduT/LCQ1yeeVju/f2zk9fAR5K8PskjRvAjx9dlqO/zu/uD3f17Sf4qw/M7WbnOtyc5afL/SZPbG9F/T/LdVXW/DM/vl3b3Z5Kck+St3f367r4myflJ/mNV3XWy3eLnwp7uvjjJlUlOnUcF1tFa6/yFJA+ZPEdOzMZ9Tiz7mZ8vvSamp41az9XcuKSet3T3DZPvOLckuX1q2RfmWVABb42qakuSpyb5dIYvO5vBHyY5KsnJSVJVleTbkrwmyWdyxy+BG05V/UiSb05yVnffPLXo95L8l6raV2vU3iTvzMZqxfv3SW7L8OVl0R9N3X5Skg8keXPuHPC+aNKS88gk/3BwijlXe7PK4zppuX9ahtf/xw5NsQ6ajyS5Ocn/mLRip7u/p7vfluTtGb7gL35ufHOSd/QwFPNqz6WNbG+Wfw68Ock3VtW3HNISHUKzvL9X1V2SfGeSD4zgi92pGb6ofWBq3muS/PX0SsvU+S9zxxa8yw9uUQ+O7v7bJH+Q5P9PcmyS104WnZpk19Sqf5uhN89ds0RVPSzJN2Ro0djI1lrnxefEA5N8KslHD1ZBD5WRf+aPhoB34H6+qvZm+MD7niRP7e7PzrdIh8ziG9Q9Jn8fkaE7y18k2ZkVwsAGcEyGN+8tGR7bab+T5Pokz1tm25dl+NXzvgeveOvq3kmum/5C1t1/1t0vmdx8UobH9C+SPKyqvnpq24Wq2ltVNyT5uwy/7v/ioSn2Ibfc4/r8yXvAzRladr+ruz93qAu3nrr7+iRnZXjsP1rDOZgLk8UXZ3h9nDwJeWdkCH3J6s+ljW6558CHklyUjfXDzv5a6f198XPwpiRPzvBj50Z3zySf6qlrSHX3Rd39u5ObK9X5n5NsmbxXnpSh6/ZG9TMZup79f1Pva/dMct3iCt19fXf/ZHfvnsya/lx4X5Jfm7T2bGRrrfP7MjwXTsrGfj6s9Jn/85Nli9NXzK2UB99fLanrA+ZdoOUIeAfuZRlesB9O8sbu/uP5FueQWjpgxpOTXDX5cviubOzz8LZkCHifSPLiJctuS/ILGbpsHLV0w+7+0wy/8i7XjfNwc5cs011k0g3rjAyP598muSF3fFz3Znj+/3SSzyX5wbH+wLHC4/qbGe6DR2b4kv+Gqjr+0JZu/U3ey+6X5IcyhL2/rqr7Tr7QvDtDC85JSe6WoZtOssJzaQxWeW3/XJLHTX69H6OV3t8XPwdPy9BaddHkPM6NbEuGbnWpqrOmvsj9xmT5anV+X5JHZ/jRY7oVcKN5bIbP+sdMzZu+b94zdd8sDr60N8N98/Akz0zyfTUZdGYDW2udr8jQgvfQbOyAtzfLf+YvviYWp5uXbjwi35k71vXa+RVlZQLegdvd3dcmeVWSZ1fVv5lzeQ6le07+/uvk75OSPGDyq+ZLknxNVX3jPAq2DvZmOP/g/0lydi0ZNTDDuXlfluT7ltn+5zKct7ewzPLDyZ4sKWdV/WBV/X2GL/FHJbkww8nVd8sdv9h9YfL8vyDDL9nT5yqO0b4e1xu6+9rufn+S/5rk7hkGF9mwquqeVbWtuz/f3a/P8AF2Q4bXRDK02H1Thu6ZO7v705P5Kz2XxmKfr+3u/kCG+2WsrXgrvb/vnrwG3pPk+zN8iX38fIq5bqafy3+c4TXwmiSLrRKr1fmKJP8pQ7i79VAUeL1Nzi87N8Nz+tuqavtk0fR98x0Z7pu7JFk8B/ELk/vmH7v7NzIM0LTRR9Nda53/JkO3zZNzx66eG81Kn/mLr4nFacONmr0fPrakrofta1zAW7tfyzDC1Ib+Yrefnpyh++IVk64oD8vwYj8pw8hiH8/G7aZ5++TE2IuSvD9LRgud/GL1y0m+a5nt35zkX7IxWjHfm+QrloTxr8vwi9STMrRYfGO+9Kvdt0zOOf2i7v58hvMzfmDko8iu9rh2hkF4tiyzfKP47gwj6CVJuvumDK02i+edvj1Dy8WT86XumcnKz6WxWOk58HNZ/j1hw9rP9/ea/N3or4FdmTyXu/szky+1y7VK7qvO70vylGzs1ppzMowQ+ooMA8mcP5m/K5MBRLr7XzL8+Henc9GmjOE9ca11vinD+8Y3Z2M/J5Jsqs/8Dc+Ds7p71nA9m8XpDl2wuvvGJL+e4Q1xDJar712r6n5V9dwMzfE/O/ny98QMzfVvWvxFI0O3rY0a8JIMw0Ul+YkkT647X7Pmf2aZLgiTcPjyfOnXvcPW5BfonUn+V1V9Q1U9Icl/zjDs9xOTvG3qMf3dDK14j9nHrn4lwwiSTz4kBZ+DZR7Xf1NVd6/hOlivTPLlSf5sHuVbR3+c5D5V9eOT1rxvznCO0VuTZNJauTvDoCpfDHirPJdGYaXXdnfvzAYdUGMVq72/33XyGnhQhh++bskwqMSG1d3vTnJZkgur6sFVdVqS751aZbU6X7Hk74ZSw+jYP5HhM/4LGT7vv6mqHpPkl5I8paqeV1X3mSxbsnndvaq+qqqekqEl808PZfnXaF/ff9ajzlck+Zfu/sTBr8IhMfrP/BXcbfJ4L077vHbi4UDAW93fZxhZbnF66z7W+eUkJ00+CDa65er780muSvLsJD/U3T87mf+kJH++ZLTJdyQ5tfY92uSG0d3vzPBl5heWzN+ToZvCcn4zG2c0xTOTXJPkPRnq9JIMLXdfk2EUxCRJd/9zhufGnYL75EProiQ/ePCLO1dLH9fnZ+i+838ynHPzXd391/vacKPo4bIvZ2UYOOqfMlz+4Wcn3TUX/VGSa7r7g0s2PzNLnkuTLktjstJre+kXvzFY9v09Q6vuz2d4Dbw7w6BbT+zhsiEb3VMyDCb23gyvgT+ZWrZana/OMKr2hgx4GboXfjrJG5Kkuz+Uodvhz/ZwGYBnZui6+f4kR2do0V20kOG++ZcM34t+NUPvj43iTt9/1qnOV2TjPh/uZBN95u/LX2V4vBenS+damhXUuLvKAgAAbB5a8AAAAEZCwAMAABgJAQ8AAGAkBDwAAICREPAAAABGQsADAAAYCQEPAABgJP4vgrv7+VnRgrMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#画图对不同模型进行比较\n",
    "fig = plt.figure()\n",
    "fig.suptitle('Algorithm Comparison')\n",
    "ax = fig.add_subplot(111)\n",
    "plt.boxplot(results)\n",
    "ax.set_xticklabels(names)\n",
    "fig.set_size_inches(15,8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 选择合适的评估指标\n",
    "#scoring = 'accuracy'\n",
    "#scoring = 'precision'\n",
    "scoring = 'recall'\n",
    "#scoring = 'auc'\n",
    "#scoring = 'roc_auc'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR: 0.561873 (0.051976)\n",
      "LDA: 0.737594 (0.059970)\n",
      "KNN: 0.862703 (0.037285)\n",
      "CART: 0.804937 (0.046373)\n",
      "NB: 0.487240 (0.253207)\n",
      "SVC: 0.386366 (0.041567)\n",
      "NN: 0.637672 (0.075984)\n",
      "AB: 0.843672 (0.043494)\n",
      "GBM: 0.879970 (0.045067)\n",
      "XGB: 0.937380 (0.035571)\n",
      "LGBM: 0.943344 (0.030500)\n",
      "RF: 0.848671 (0.056310)\n",
      "ET: 0.903623 (0.043540)\n"
     ]
    }
   ],
   "source": [
    "# 对每个模型进行K折交叉验证\n",
    "results = []\n",
    "names = []\n",
    "for name, model in models:\n",
    "    kfold = KFold(n_splits=num_folds, random_state=seed, shuffle=True)\n",
    "    cv_results = cross_val_score(model, X_train, Y_train, cv=kfold, scoring=scoring)\n",
    "    results.append(cv_results)\n",
    "    names.append(name)\n",
    "    message = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n",
    "    print(message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LR</th>\n",
       "      <th>LDA</th>\n",
       "      <th>KNN</th>\n",
       "      <th>CART</th>\n",
       "      <th>NB</th>\n",
       "      <th>SVC</th>\n",
       "      <th>NN</th>\n",
       "      <th>AB</th>\n",
       "      <th>GBM</th>\n",
       "      <th>XGB</th>\n",
       "      <th>LGBM</th>\n",
       "      <th>RF</th>\n",
       "      <th>ET</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>recall</th>\n",
       "      <td>0.561873</td>\n",
       "      <td>0.737594</td>\n",
       "      <td>0.862703</td>\n",
       "      <td>0.804937</td>\n",
       "      <td>0.48724</td>\n",
       "      <td>0.386366</td>\n",
       "      <td>0.637672</td>\n",
       "      <td>0.843672</td>\n",
       "      <td>0.87997</td>\n",
       "      <td>0.93738</td>\n",
       "      <td>0.943344</td>\n",
       "      <td>0.848671</td>\n",
       "      <td>0.903623</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              LR       LDA       KNN      CART       NB       SVC        NN  \\\n",
       "recall  0.561873  0.737594  0.862703  0.804937  0.48724  0.386366  0.637672   \n",
       "\n",
       "              AB      GBM      XGB      LGBM        RF        ET  \n",
       "recall  0.843672  0.87997  0.93738  0.943344  0.848671  0.903623  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recall_all  = pd.DataFrame(index=names,data = np.mean(results,axis=1),columns=['recall']).T\n",
    "recall_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#画图对不同模型进行比较\n",
    "fig = plt.figure()\n",
    "fig.suptitle('Algorithm Comparison')\n",
    "ax = fig.add_subplot(111)\n",
    "plt.boxplot(results)\n",
    "ax.set_xticklabels(names)\n",
    "fig.set_size_inches(15,8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LR</th>\n",
       "      <th>LDA</th>\n",
       "      <th>KNN</th>\n",
       "      <th>CART</th>\n",
       "      <th>NB</th>\n",
       "      <th>SVC</th>\n",
       "      <th>NN</th>\n",
       "      <th>AB</th>\n",
       "      <th>GBM</th>\n",
       "      <th>XGB</th>\n",
       "      <th>LGBM</th>\n",
       "      <th>RF</th>\n",
       "      <th>ET</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>recall</th>\n",
       "      <td>0.561873</td>\n",
       "      <td>0.737594</td>\n",
       "      <td>0.862703</td>\n",
       "      <td>0.788236</td>\n",
       "      <td>0.487240</td>\n",
       "      <td>0.386366</td>\n",
       "      <td>0.723781</td>\n",
       "      <td>0.843672</td>\n",
       "      <td>0.883891</td>\n",
       "      <td>0.937380</td>\n",
       "      <td>0.943344</td>\n",
       "      <td>0.856757</td>\n",
       "      <td>0.891871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roc_auc</th>\n",
       "      <td>0.768199</td>\n",
       "      <td>0.870703</td>\n",
       "      <td>0.924931</td>\n",
       "      <td>0.787839</td>\n",
       "      <td>0.675423</td>\n",
       "      <td>0.795406</td>\n",
       "      <td>0.762147</td>\n",
       "      <td>0.930654</td>\n",
       "      <td>0.966170</td>\n",
       "      <td>0.978062</td>\n",
       "      <td>0.980171</td>\n",
       "      <td>0.954364</td>\n",
       "      <td>0.972341</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               LR       LDA       KNN      CART        NB       SVC        NN  \\\n",
       "recall   0.561873  0.737594  0.862703  0.788236  0.487240  0.386366  0.723781   \n",
       "roc_auc  0.768199  0.870703  0.924931  0.787839  0.675423  0.795406  0.762147   \n",
       "\n",
       "               AB       GBM       XGB      LGBM        RF        ET  \n",
       "recall   0.843672  0.883891  0.937380  0.943344  0.856757  0.891871  \n",
       "roc_auc  0.930654  0.966170  0.978062  0.980171  0.954364  0.972341  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_compare = pd.concat([reacall_all,roc_all], axis=0, ignore_index=False)\n",
    "model_compare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_compare.to_excel('模型比较.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到，AB、GBM、XGB、LGBM、RF、ET模型的表现相对较好,其中LGBM表现最好，选为所用模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. 特征工程\n",
    "通过不同方法进行特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "130"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dataset.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "float64    127\n",
       "int32        3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.dtypes.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6.1 根据金融财务知识进行特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['industryphy',\n",
       " 'enttype',\n",
       " 'prov',\n",
       " 's_fa_current',\n",
       " 's_fa_quick',\n",
       " 's_fa_cashratio',\n",
       " 's_fa_cashtoliqdebt',\n",
       " 's_fa_debttoassets',\n",
       " 's_fa_ebittointerest',\n",
       " 's_fa_tangibleassettonetdebt',\n",
       " 's_fa_tangassettointdebt',\n",
       " 's_fa_grossprofitmargin',\n",
       " 's_fa_profittogr',\n",
       " 's_fa_roe',\n",
       " 's_fa_roa2',\n",
       " 's_fa_invturn',\n",
       " 's_fa_arturn',\n",
       " 's_fa_yoy_or',\n",
       " 's_fa_yoyebt',\n",
       " 's_fa_yoy_equity',\n",
       " 's_fa_yoyroe',\n",
       " 's_fa_ocftoshortdebt',\n",
       " 's_fa_ocftodebt',\n",
       " 'isDefault']"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_choose = pd.read_excel('变量选择.xlsx', sheet_name='财务指标', index_col=0)\n",
    "index_list = list(index_choose.iloc[:, 0])  #.append('isDefault')#.remove('列名')\n",
    "index_list.append('isDefault')\n",
    "index_list.remove('s_fa_longdebttoworkingcapital')\n",
    "del index_list[0]\n",
    "del index_list[1]\n",
    "not_drop_list_fin = index_list\n",
    "not_drop_list_fin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6.2 通过算法进行特征选择"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 6.2.1 根据与预测变量的相关系数进行选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "isDefault                     1.000000\n",
       "s_fa_current                  0.319152\n",
       "industryphy                   0.301979\n",
       "s_fa_longdebtodebt            0.289156\n",
       "s_fa_currentdebttodebt        0.286215\n",
       "                                ...   \n",
       "s_fa_arturndays               0.007248\n",
       "s_fa_cfps                     0.006385\n",
       "s_fa_nonoperateprofittoebt    0.005522\n",
       "s_fa_noptoebt                 0.005227\n",
       "s_fa_optoebt                  0.005208\n",
       "Name: isDefault, Length: 130, dtype: float64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation = dataset.corr()\n",
    "correlation_isDefault = abs(correlation['isDefault'])\n",
    "correlation_isDefault.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 与isDefault相关性低于0.03的特征\n",
    "drop_list_corr = list(correlation_isDefault[correlation_isDefault<0.03].index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 6.2.2 LassoCV特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.drop(\"isDefault\", axis=1)\n",
    "Y = dataset[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X,Y, test_size=0.3, random_state=9)\n",
    "model_lasso = LassoCV(alphas=[0.1, 1, 0.001, 0.0005], cv=10).fit(X_train, Y_train)\n",
    "coef = pd.Series(model_lasso.coef_, index=X_train.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 系数等于0的特征\n",
    "drop_list_lasso = list(coef[coef==0].index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 6.2.3 XGBoost特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.drop(\"isDefault\", axis=1)\n",
    "Y = dataset[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X,  Y, test_size=0.3, random_state=9)\n",
    "model = xgb.XGBClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "feat_importances = pd.Series(model.feature_importances_, index=X.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 选择模型特征重要性前40的特征\n",
    "not_drop_list_xgb = list(feat_importances.nlargest(40).index)\n",
    "not_drop_list_xgb.append('isDefault')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. 特征选择方案对比"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于LGBM表现较优，用LGBM模型对不同特征组进行比较，进而选择出最优的特征组"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.1 未经特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.drop(\"isDefault\", axis=1)\n",
    "Y = dataset[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=5)\n",
    "# 训练模型\n",
    "model = lgb.LGBMClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "# 计算指标\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 130)"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9245283018867925\n",
      "precision: 0.8938775510204081\n",
      "recall: 0.9399141630901288\n",
      "auc: 0.9261860377740205\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\", acc)\n",
    "print(\"precision:\", precis)\n",
    "print(\"recall:\", recall)\n",
    "print(\"auc:\", auc)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.2 金融财务知识特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_fin = dataset[not_drop_list_fin]\n",
    "X = dataset_fin.drop(\"isDefault\", axis=1)\n",
    "Y = dataset_fin[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=seed)\n",
    "# 训练模型\n",
    "model = lgb.LGBMClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "# 计算指标\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 24)"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_fin.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9452830188679245\n",
      "precision: 0.9330543933054394\n",
      "recall: 0.9449152542372882\n",
      "auc: 0.9452467427649026\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\", acc)\n",
    "print(\"precision:\", precis)\n",
    "print(\"recall:\", recall)\n",
    "print(\"auc:\", auc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.3 相关系数特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_corr = dataset.drop(labels=drop_list_corr, axis=1)\n",
    "X = dataset_corr.drop(\"isDefault\", axis=1)\n",
    "Y = dataset_corr[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=seed)\n",
    "# 训练模型\n",
    "model = lgb.LGBMClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "# 计算指标\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 100)"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_corr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9471698113207547\n",
      "precision: 0.9262295081967213\n",
      "recall: 0.9576271186440678\n",
      "auc: 0.9482013144240747\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\", acc)\n",
    "print(\"precision:\", precis)\n",
    "print(\"recall:\", recall)\n",
    "print(\"auc:\", auc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.4 Lasso特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_lasso = dataset.drop(labels=drop_list_lasso, axis=1)\n",
    "X = dataset_lasso.drop(\"isDefault\", axis=1)\n",
    "Y = dataset_lasso[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=seed)\n",
    "# 训练模型\n",
    "model = lgb.LGBMClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "# 计算指标\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 127)"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_lasso.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9490566037735849\n",
      "precision: 0.9300411522633745\n",
      "recall: 0.9576271186440678\n",
      "auc: 0.9499019946961836\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\", acc)\n",
    "print(\"precision:\", precis)\n",
    "print(\"recall:\", recall)\n",
    "print(\"auc:\", auc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.5 相关系数+Lasso特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "drop_list_lc = list(set(drop_list_corr).union(set(drop_list_lasso)))\n",
    "dataset_lasso_corr=dataset.drop(labels=drop_list_lc, axis=1)\n",
    "X = dataset_lasso_corr.drop(\"isDefault\", axis=1)\n",
    "Y = dataset_lasso_corr[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=seed)\n",
    "# 训练模型\n",
    "model = lgb.LGBMClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "# 计算指标\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 98)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_lasso_corr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9641509433962264\n",
      "precision: 0.950207468879668\n",
      "recall: 0.9703389830508474\n",
      "auc: 0.9647613282601174\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\", acc)\n",
    "print(\"precision:\", precis)\n",
    "print(\"recall:\", recall)\n",
    "print(\"auc:\", auc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7.6 XGBoost特征选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_xgb = dataset[not_drop_list_xgb]\n",
    "X = dataset_xgb.drop(\"isDefault\", axis=1)\n",
    "Y = dataset_xgb[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X,  Y, test_size=0.3, random_state=seed)\n",
    "# 训练模型\n",
    "model = lgb.LGBMClassifier()\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "# 计算指标\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 41)"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_xgb.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9622641509433962\n",
      "precision: 0.9462809917355371\n",
      "recall: 0.9703389830508474\n",
      "auc: 0.9630606479880087\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\", acc)\n",
    "print(\"precision:\", precis)\n",
    "print(\"recall:\", recall)\n",
    "print(\"auc:\", auc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### 8. 最终模型调整"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 8.1 特征选择\n",
    "采用相关性+Lasso获得的特征最优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1766, 98)"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset=dataset_lasso_corr\n",
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['s_fa_operateincome',\n",
       " 's_fa_ebit',\n",
       " 's_fa_fcfe',\n",
       " 's_fa_tangibleasset',\n",
       " 's_fa_workingcapital',\n",
       " 's_fa_networkingcapital',\n",
       " 's_fa_retainedearnings',\n",
       " 's_fa_eps_diluted2',\n",
       " 's_fa_bps',\n",
       " 's_fa_surpluscapitalps',\n",
       " 's_fa_ebitps',\n",
       " 's_fa_fcffps',\n",
       " 's_fa_fcfeps',\n",
       " 's_fa_netprofitmargin',\n",
       " 's_fa_grossprofitmargin',\n",
       " 's_fa_expensetosales',\n",
       " 's_fa_profittogr',\n",
       " 's_fa_saleexpensetogr',\n",
       " 's_fa_adminexpensetogr',\n",
       " 's_fa_finaexpensetogr',\n",
       " 's_fa_impairtogr_ttm',\n",
       " 's_fa_gctogr',\n",
       " 's_fa_optogr',\n",
       " 's_fa_ebittogr',\n",
       " 's_fa_roe',\n",
       " 's_fa_roa2',\n",
       " 's_fa_roa',\n",
       " 's_fa_roic',\n",
       " 's_fa_roe_yearly',\n",
       " 's_fa_roa2_yearly',\n",
       " 's_fa_investincometoebt',\n",
       " 's_fa_taxtoebt',\n",
       " 's_fa_salescashintoor',\n",
       " 's_fa_ocftoor',\n",
       " 's_fa_debttoassets',\n",
       " 's_fa_assetstoequity',\n",
       " 's_fa_dupont_assetstoequity',\n",
       " 's_fa_catoassets',\n",
       " 's_fa_ncatoassets',\n",
       " 's_fa_tangibleassetstoassets',\n",
       " 's_fa_intdebttototalcap',\n",
       " 's_fa_equitytototalcapital',\n",
       " 's_fa_currentdebttodebt',\n",
       " 's_fa_longdebtodebt',\n",
       " 's_fa_current',\n",
       " 's_fa_quick',\n",
       " 's_fa_cashratio',\n",
       " 's_fa_debttoequity',\n",
       " 's_fa_equitytodebt',\n",
       " 's_fa_equitytointerestdebt',\n",
       " 's_fa_tangibleassettodebt',\n",
       " 's_fa_tangassettointdebt',\n",
       " 's_fa_tangibleassettonetdebt',\n",
       " 's_fa_ocftonetdebt',\n",
       " 's_fa_ebittointerest',\n",
       " 's_fa_turndays',\n",
       " 's_fa_invturndays',\n",
       " 's_fa_invturn',\n",
       " 's_fa_arturn',\n",
       " 's_fa_faturn',\n",
       " 's_fa_roa_yearly',\n",
       " 's_fa_dupont_roa',\n",
       " 's_stm_bs',\n",
       " 's_fa_prefinexpense_opprofit',\n",
       " 's_fa_nonopprofit',\n",
       " 's_fa_cashtoliqdebt',\n",
       " 's_fa_cashtoliqdebtwithinterest',\n",
       " 's_fa_optoliqdebt',\n",
       " 's_fa_optodebt',\n",
       " 's_fa_roic_yearly',\n",
       " 's_fa_tot_faturn',\n",
       " 's_fa_profittoop',\n",
       " 's_qfa_operateincome',\n",
       " 's_qfa_eps',\n",
       " 's_qfa_netprofitmargin',\n",
       " 's_qfa_profittogr',\n",
       " 's_qfa_adminexpensetogr',\n",
       " 's_qfa_optogr',\n",
       " 's_qfa_roe',\n",
       " 's_qfa_roa',\n",
       " 's_qfa_ocftosales',\n",
       " 's_fa_yoyop',\n",
       " 's_fa_yoyebt',\n",
       " 's_fa_yoynetprofit',\n",
       " 's_fa_yoyroe',\n",
       " 's_fa_yoybps',\n",
       " 's_fa_yoyassets',\n",
       " 's_fa_yoyequity',\n",
       " 's_fa_yoy_tr',\n",
       " 's_fa_yoy_or',\n",
       " 's_qfa_cgrgr',\n",
       " 's_qfa_cgrsales',\n",
       " 's_qfa_cgrop',\n",
       " 's_qfa_cgrnetprofit',\n",
       " 'isDefault',\n",
       " 'industryphy',\n",
       " 'enttype',\n",
       " 'prov']"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(dataset.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "848ca488-b0fd-8e93-2e68-23d32c71d89c"
   },
   "source": [
    "#### 8.2 参数选择\n",
    "LGBM模型表现最优，进一步对LGBM模型采用网格搜索获取最优参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.drop(\"isDefault\", axis=1)\n",
    "Y = dataset[\"isDefault\"]\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3, random_state=seed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 27 candidates, totalling 135 fits\n",
      "Best: 0.945425 using {'learning_rate': 0.15, 'max_depth': 25, 'n_estimators': 200, 'num_leaves': 100}\n"
     ]
    }
   ],
   "source": [
    "model = lgb.LGBMClassifier()\n",
    "param_dist = {\n",
    "    \"max_depth\": [25, 50, 75],\n",
    "    \"learning_rate\": [0.01, 0.1, 0.15],\n",
    "    \"num_leaves\": [100, 300, 500],\n",
    "    \"n_estimators\": [200]\n",
    "}\n",
    "kfold = KFold(n_splits=num_folds, random_state=seed, shuffle=True)\n",
    "grid = GridSearchCV(estimator=model, param_grid=param_dist, cv=kfold, scoring=scoring, verbose=10, n_jobs=-1)\n",
    "grid_result = grid.fit(X_train, Y_train)\n",
    "print(\"Best: %f using %s\" %(grid_result.best_score_, grid_result.best_params_))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "得到最优参数: {'learning_rate': 0.1, 'max_depth': 25, 'n_estimators': 200, 'num_leaves': 100}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 8.3 训练最终模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 训练模型\n",
    "model = lgb.LGBMClassifier(learning_rate=0.1, max_depth=25, n_estimators=200, num_leaves=100)\n",
    "model.fit(X_train, Y_train)\n",
    "# 预测\n",
    "Y_pred = model.predict(X_test)\n",
    "fpr, tpr, thresholds = metrics.roc_curve(Y_test, Y_pred, pos_label=1)\n",
    "auc = metrics.auc(fpr, tpr)\n",
    "acc = metrics.accuracy_score(Y_test, Y_pred)\n",
    "precis = metrics.precision_score(Y_test, Y_pred)\n",
    "recall = metrics.recall_score(Y_test, Y_pred)\n",
    "conf = metrics.confusion_matrix(Y_test, Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.9641509433962264\n",
      "precision: 0.9465020576131687\n",
      "recall: 0.9745762711864406\n",
      "auc: 0.9651792920558054\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy:\",acc)\n",
    "print(\"precision:\",precis)\n",
    "print(\"recall:\",recall)\n",
    "print(\"auc:\",auc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[281  13]\n",
      " [  6 230]]\n"
     ]
    }
   ],
   "source": [
    "print(conf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.98      0.96      0.97       294\n",
      "         1.0       0.95      0.97      0.96       236\n",
      "\n",
      "    accuracy                           0.96       530\n",
      "   macro avg       0.96      0.97      0.96       530\n",
      "weighted avg       0.96      0.96      0.96       530\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(metrics.classification_report(Y_test, Y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 8.4 最终模型中的特征重要性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1296x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feat_importances = pd.Series(model.feature_importances_, index=X.columns)\n",
    "plt.figure(figsize=(18, 10))\n",
    "feat_importances.nlargest(15).plot(kind='barh')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 9. 结论"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "_change_revision": 206,
  "_is_fork": false,
  "kernelspec": {
   "display_name": "Python 3.8.8 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "vscode": {
   "interpreter": {
    "hash": "88279d2366fe020547cde40dd65aa0e3aa662a6ec1f3ca12d88834876c85e1a6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
